DSP Development tool

本科毕业设计（论文）基于Matlab/Simulink对C6000系列进行软件开发的研究Research on the software development of C6000 seriesbased on Matlab/Simulink学院：电子信息工程学院专业：通信工程学生姓名：张林学号：11291162指导教师：高海林北京交通大学2016年4月中文摘要摘要：随着Math Works公司的产品Matlab/Simulink的不断升级，基于Matlab /Simulink 的DSP系统开发方式愈来愈成熟，功能愈发强大。

Embedded Target for TI C6000工具箱可以完成从概念方案设计到软件代码仿真甚至是在硬件DSP板生进行测试的全过程，使用Matlab /Simulink可以将仿真通过的函数模型直接转换成在DSP系统上能够执行的C / C++ 代码，生成的代码可用于实时应用和硬件在线测试，对于Simulink工具箱Embedded Target for TI C6000中已有的函数图形进行简单程序的代码生成，比如EVMDM642案例DSP系统，确实可以方便地仿真以及实现快速的从算法概念到目标代码的自动生成，几乎不需要用户参与代码编写，对于简单的应用，用户只需要动一动手指，按一按鼠标，就能够让Matlab生成全套的代码，毫不费力。

可以得出结论：基于Matlab/Simulink的DSP代码生成的方法，在人力和物力的损耗上，要优于传统的基于CCS的DSP开发方式，能够加快DSP系统开发的速度，降低开发的难度，并且，基于Matlab/Simulink的DSP代码生成的方法适用于初学者，非高深资历的开发人员同样能够通过这个方式来完成DSP开发的科研任务。

关键词：Matlab；Simulink；DM642；自动代码生成ABSTRACTABSTRACT:With the continuous upgrading of Works Math Matlab/Simulink products,/Simulink DSP based Matlab system development is increasingly mature, more powerful. Embedded Target for TI C6000 toolbox can be completed from conceptual design to software simulation code even in the whole process of DSP in hardware testing, using the Matlab/Simulink function can be converted directly into the model through simulation can be performed on the DSP / C+ + C code, the generated code can be used for real-time applications and hardware the online test, for Simulink Target for TI C6000 Embedded toolbox has the function of simple graphics program code generation, such as theEVMDM642 case of the DSP system, automatic generation can easily achieve fast algorithm simulation and from concept to object code, almost do not need users to participate in the preparation of the code, for simple applications, users only need to move your finger, press the mouse, can let Matlab generate a full set of code, easy. We can draw the conclusion: the method based on MATLAB / Simulink DSP code generation, in the loss of human and material resources, is superior to the traditional based on CCS of DSP development way, can accelerate the speed of DSP system development, reduce development difficulty and based on MATLAB / Simulink DSP code generation method is suitable for beginners, non developers of advanced qualifications can also through this way to accomplish research tasks in the development of DSP.KEYWORDS：Matlab; Simulink; DM642; Automatic Code Generation目录中文摘要 (I)ABSTRACT (II)目录 (III)1引言：毕业设计的背景与意义 (1)1.1研究背景 (1)1.2研究意义 (1)1.3研究问题简述 (2)1.4课题提出的要求 (3)1.5毕业论文的结构 (3)2MATLAB和SIMULNK简介 (4)2.1M ATLAB 软件现状简述 (4)2.2S IMULINK现状简述 (6)2.3M ATLAB/SIMULINK配置与指令 (7)3CCSTUDIO介绍及传统DSP代码生成流程 (9)3.1CCS TUDIO配置与指令 (9)3.2传统DSP软件开发流程 (9)4基于MATLAB/ SIMULINK的DSP目标代码生成方法 (10)4.1生成流程 (10)4.2基于M ATLAB对TMS320DM642为核心的目标DSP开发板进行仿真和代码生成的函数模型设计 (11)4.3基于M ATLAB对EVMDM642DSP系统板进行仿真和代码生成 (15)4.4基于M ATLAB对合众达公司SEED-VPM642DSP系统生成代码进行移植的方法和分析265基于MATLAB的DSP代码生成方法总结 (30)参考文献 (32)致谢 ......................................................................................................................... 错误！未定义书签。

Code Composer Studio (Optimization)Enry Shen Texas Instruments8th Texas Instruments Developer Conference India 30 Nov - 1 Dec 2005, BangaloreAgendaOverview of Application Code Tuning Compiler Consultant Code Size Tune Tool Cache Tune Tool1CCS Optimization Tool TutorialOverview of Application Code Tuning Compiler Consultant ToolIntroduction DemonstrationCode Size Tune ToolIntroduction DemonstrationCache Tune ToolIntroduction DemonstrationCCStudio Platinum EditionOne environment for all platformsMulti-platform IDE meets evolving developers needs OEMs realize substantial development tool savingsEasy To Use IDEExponential productivity improvementsUp to 80% faster debug via connect/ disconnect Single keystroke back-step with RewindMaximize TI DSP performance entitlementCode optimization and tuning tools Updated C compilers for each platformIntegrated CodeWright editor Lock versions of compiler and DSP/BIOS per design2Compiler Build OptionsNearly one-hundred compiler options available to tune your code's performance, size, etc. Following table lists most commonly used options:Options -mv6700 -mv67p -mv6400 -mv6400+ -fr <dir> -fs <dir> Debug Optimize (release) -g -ss -o3 -kDescription Generate 'C67x code ('C62x is default) Generate 'C672x code Generate 'C64x code Generate 'C64x+ code Directory for object/output files Directory for assembly files Enables src-level symbolic debugging Interlist C statements into assembly listing Invoke optimizer (-o0, -o1, -o2/-o, -o3) Keep asm files, but don't interlistCompiler Build OptionsNearly one-hundred compiler options available to tune your code's performance, size, etc. Following table lists most commonly used options:Options -mv6700 -mv67p -mv6400 -mv6400+ -fr <dir> -fs <dir> Debug Optimize (release)Description Generate 'C67x code ('C62x is default) Generate 'C672x code Generate 'C64x code Generate 'C64x+ code Directory for object/output files Directory for assembly files-g Enables src-level Debug and Optimizesymbolic debugging options conflict -ss Interlist C statements into assembly listing with each other, therefore-o2/-o, -o3) they should -o3 Invoke optimizer (-o0, -o1, not be used asm files, but don't interlist -k Keep together3Two Default Configurations-g -fr"$(Proj_dir)\Debug" -d"_DEBUG" -mv6700 -o3 -fr"$(Proj_dir)\Release" -mv6700For new projects, CCS automatically creates two build configurations: Debug (unoptimized) Release (optimized) Use the drop-down to quickly select build config.Two Default ConfigurationsAdd/Remove build config's with Project Configurations dialog (on project menus)Edit a configuration: 1. Set it active 2. Modify build options 3. Save project4Two Default ConfigurationsNow You can build with your new configurationRecommended Development FlowStartNoEditCompile -gDebugWorks? YesNo Done Goals Met? ProfileYesCompile -oDebug first. Tune second. After making sure you program is logically correct, We can use compiler optimizer to optimize.5First, Turn on the OptimizerAs we have seen, the optimizer can work miracles, but… What else can we do with C after turning on the optimizer? Options -mv6700 -mv67p -mv6400 -mv6400+ -fr <dir> -fs <dir> Debug Optimize (release) -g -ss -o3 -k Description Generate 'C67x code ('C62x is default) Generate 'C672x code Generate 'C64x code Generate 'C64x+ code Directory for object/output files Directory for assembly files Enables src-level symbolic debugging Interlist C statements into assembly listing Invoke optimizer (-o0, -o1, -o2/-o, -o3) Keep asm files, but don't interlistProvide Compiler with More InsightWhy you program still not optimized even use –o3 option to turn on the optimizer?1. 2. 3. 4. 5.Restrict Memory Dependencies (Aliasing) Program Level Optimization: -pm –op2 -o3 #pragma UNROLL(# of times to unroll); #pragma MUST_ITERATE(min, max, %factor); #pragma DATA_ALIGN(variable, 2n alignment); Like –pm, #pragmas are an easy way to pass more information to the compiler The compiler uses this information to create "better" code #pragmas are ignored by other C compilers if they are not supported6Memory Alias DisambiguationWhat happens if the function is called like this? fcn(*myVector, *myVector+1) void fcn(*in, *out) { LDW *in++, A0 ADD A0, 4, A1 STW A1, *out++ }in a b c d e ...in + 4Can reorder memory references only when they are not aliases Aliases access same memory location Sometimes Compiler cannot figure out two pointers point to independent addresses or not Keyword restrict says pointer gives sole access to underlying memoryMemory Alias DisambiguationWhat happens if the function is called like this? fcn(*myVector, *myVector+1)in a in + 4 b void fcn(*in, *out) c { LDW void *in++, A0 *restrict in, short *out) fcn(short d ADD A0, 4, A1 STW A1, *out++ e } ...Can reorder memory references only when they are not aliases Aliases access same memory location Sometimes Compiler cannot figure out two pointers point to independent addresses or not Keyword restrict says pointer gives sole access to underlying memory7Program Level Optimization (-pm)-pm is critical in compiling for maximum performance -pm creates a temp.c file which includes all C source files, thus giving the optimizer a program-level optimization context -opn describes a program's external referencesProgram Level Optimization (-pm)-pm requires the use -o3 -pm requires the use -o3 Cannot be used as file or function specific Cannot be used as file or function specific option option Without knowing which -opn option to use, TI Without knowing which -opn option to use, TI couldn't use couldn't use -pm in default Release config -pm in default Release config Unfortunately, -pm cannot provide optimizer Unfortunately, -pm cannot provide optimizer with visibility into object code libraries with visibility into object code libraries External References: External References: For example, ififyour program modifies aa For example, your program modifies global variable from another code module, - global variable from another code module, op2 cannot be used op2 cannot be used Similarly, ififyour code calls aafunction in an Similarly, your code calls function in an external module (who's source isn't visible to external module (who's source isn't visible to the optimizer), -op2 cannot be used (and will the optimizer), -op2 cannot be used (and will be overriden) be overriden)8UNROLL(# of times to unroll)#pragma UNROLL(2); for(i = 0; i < count ; i++) { sum += a[i] * x[i]; }Tells the compiler to unroll the for() loop twice The compiler will generate extra code to handle the case that count is odd The #pragma must come right before the for() loop UNROLL(1) tells the compiler not to unroll a loopMUST_ITERATE(min, max, %factor)#pragma UNROLL(2); #pragma MUST_ITERATE(10, 100, 2); for(i = 0; i < count ; i++) { sum += a[i] * x[i]; } Gives the compiler information about the trip (loop) count In the code above, we are promising that: count >= 10, count <= 100, and count % 2 == 0 If you break your promise, you might break your code Allows the compiler to remove unnecessary code Modulus (%) factor allows for efficient loop unrolling The #pragma must come right before the for() loop9#pragma DATA_ALIGN(variable, 2n alignment)#pragma DATA_ALIGN(a, 8); short a[256] = {1, 2, 3, … #pragma DATA_ALIGN(x, 8); short x[256] = {256, 255, 254, … #pragma UNROLL(2); #pragma MUST_ITERATE(10, 100, 2); for(i = 0; i < count ; i++) { sum += a[i] * x[i]; } Tell compiler to create variables on a 2n boundary Allows use of (double) word-wide optimized loads/storesCode Size vs. Code Speed? What compiler options are best for your code size vs. speed tradeoff? Traditionally, figuring this out required running large permutations of options10Minimizing Space OptionThe table shows the basic strategy employed by compiler and Asm-Opt when using the –ms optionsUser must use the optimizer (-o ) with –ms for the greatest effect. The optimizer provides a great deal of information for code-size reduction, as well as increasing performance Use program level optimization (-pm )Try -mh to reduce prolog/epilog codeUse –oi0to disable auto-inlining100%0-ms38020-ms24060-ms11090-ms00100%none Code Size Performance -ms level Analyze and TuneCompiler ConsultantCache TuneCode Size TuneTuning DashboardCCS Optimization Tool TutorialOverview of Application Code TuningCompiler Consultant Tool¾Introduction¾DemonstrationCode Size Tune Tool¾Introduction¾DemonstrationCache Tune Tool¾Introduction¾DemonstrationCompiler Consultant IntroductionC/C++ cannot express all the information needed to get the best optimizationCompiler Consultant …¾Recognizes these gaps¾Gives specific advice on filling the gapIt analyzes your application and makes recommendations for changes to optimize the performanceThese suggestions include compiler optimization switches and pragmas to insert into your code that give the compiler more application informationPerformance Improvement comes quicklyCompiler Consultant Introduction1.Optionally, profile CPU performance2.Build with –-consultantunch Profile Viewer to see advice inspreadsheet like format4.Sort loops to decide where to start5.See advice by double-clicking on Advice List cellof row for loop of interest6.Explore advice in web browser like interface7.Implement as much advice as desired8.Build to see improvements9.Repeat until satisfiedBenchmark Code PerformanceProfile ÆClock ÆViewBenchmark Code PerformanceWe set two breakpoints, one before and another after the dotp() Now we can benchmark clock cycles to execute this functionRun to thefirstbreakpointBenchmark Code PerformanceRun to thefirstbreakpointReset the Clock by double click the itemBenchmark Code Performance Run to the next breakpoint and getthe result of clock cycles toperforming this functionBenchmark with ProfilerProfiler SetupProfiler ViewerSetup the Profiler This is a three step process:Click “Enable Profiling”Select the code we want to profile:•Functions•LoopsSelect the “Custom”ButtonSetup the Profiler Select the items to benchmarkOpen up the ViewerCountHow many times we run into this function TotalTotal number of clock cycles to execute this functionProject ÆBuild OptionsCompiler ConsultantCompiler ConsultantClick on the checkbox Generate Compiler Consultant Advice(--consultant).Compiler ConsultantFrom the Profile menu, choose Viewer.Compiling with no ErrorOnce the Profile Viewer window appears, click on the Consultant tab.Compiler ConsultantOnce the Profile Viewer window appears, click on the Consultant tab.The Loop Name We take 64 cycles toexecute this loop Two advises to optimize this loopCompiler ConsultantCompiler ConsultantDouble click on the Advice List cell for the DoLoop row.Compiler ConsultantThe Advice Window appears, and the Consultant tabdisplays advice for the DoLoop function.Compiler ConsultantUnder the Project menu, choose Build OptionsIn the Build Options dialog, click the Compiler tab.Click on the Basic item in the Category list.From the Generate Debug Info drop down list, choose No Debug.From the Opt Level drop down list, choose File (-o3).Let’s Compiling againCompiler ConsultantLoop Duplicated.Compiler is unable to determine if one or more pointers are pointing at the same memory address as some other variable. Such pointers are called aliases.One version of the loop presumes the presence of aliases, the other version of the loop does not.The compiler generates code that checks, at runtime, whether certain aliases are present.Compiler executes the appropriate version of the loop based on the checkCompiler ConsultantWe can profile the code to see which loop versions get selected when the code is executed. From the File menu, choose Load Program to start the program load.Enable ProfilingCollect Run Time Loop Information.Select Profile ÆSetupLoad and Execute ProgramCompiler ConsultantDouble-Click Advise ListThe problem statement indicates thecompiler cannot determine if twopointers may point to the samememory location, and therefore cannotapply more aggressive optimizationsto the loop.The Consultant Tool offers severalsuggestions to solve the problem.Compiler ConsultantThe Consultant Tool offers several suggestions to solve the problemand gives a example to show you how to do it.Here the Consultant Tool tells you use “restrict”keywordCompiler ConsultantModify the source file to add restrict key word qualifier to the Output pointer parameter to solve Alias issue.Compiler ConsultantThe Advise Window will give you somesuggestions and recommendations to solvethose issuesKnow let’s take a look at more advises ÆAlignment and Trip CountCompiler ConsultantModify the source file to tell the compiler more information by using Pragmas Build, load, and execute the program and benchmark your resultDemoUsing Compiler Consultant ToolCCS Optimization Tool TutorialOverview of Application Code TuningCompiler Consultant Tool¾Introduction¾DemonstrationCode Size Tune Tool¾Introduction¾DemonstrationCache Tune Tool¾Introduction¾DemonstrationCodeSize Tune IntroductionCodeSize Tune is a tool that enables you quickly and easily optimize the trade-off between code size and cycle countUsing a variety of compiling configurations, CST will …¾Profile your application¾Collect data on individual functions¾Determine the best combinations of compiler optionsCST will produces a graph of these function-specific options You can graphically choose the configurations that best fits your needCodeSize TuneAfter Build executable and Load, Launch CodeSizeTune from theProfile→Tuning menu by choosing CodeSizeTune.CodeSize TuneOnce CodeSizeTune is launched, the CodeSizeTune window displays.Also, the advice window displays the initial CodeSizeTune advicetopic.Setting Exit PointsUsing CST, your application must self terminate.The application used here is a looping application that does notself-terminate.In order for CST to work, we must force it to stop data collection at some point by establishing an exit point.For CST, the exit point will also halt the CPU.Setting Exit PointsUsing CST, your application must self terminate.The application used here is a looping application that does notself-terminate.In order for CST to work, we must force it to stop data collection at some point by establishing an exit point.For CST, the exit point will also halt the CPU.Profile ÆSetupClick on theEnable/Disable Profilingbutton to enable profiling.Click on the Controltab of the Profile Setupwindow.Setting Exit PointsNavigate to the open modemtx.c window. Navigate to the while function loop within the main function of modemtx.c, and highlight the end brace ("}") on line 344 of the while loop .Drag-and-drop it to the Exit Point pane within the Control tab.CodeSize TuneNow that we have prepared our application by including an exit point, we are ready to build and profile.In the CodeSizeTune window tool bar, choose the RebuildAll and ReprofileAll iconThe CodeSizeTune tab shows build progress in the output window, first building, resetting the CPU, then loading, and finally profilingfor each of the preset collection options sets.CodeSize TuneWhen CodeSizeTune finishes profiling your application under each collection option, it displays the output graph.The CodeSizeTune graph plots function-specific option sets according to code size and cycle count. Code size is plotted on the x-axis and cycle count on the y-axis.CodeSize TuneWhen CodeSizeTune finishes profiling your application under each collection option, it displays the output graph.The CodeSizeTune graph plots function-specific option sets according to code size and cycle count. Code size is plotted on the x-axis and cycle count on the y-axis.Pick one of the points (in purple) with the desired cycle and code size, and click on it to make it the Selected Function-SpecificOptions Set.The Profile Viewer window automatically displays when you select a point from the graph.CodeSize TuneThe Profile Viewer window displays detailed information about the selected function-specific options set. This information includes the size, cycle, name and options for each function.CodeSize TuneNow we need to perform is saving the selected options set (the single graph point) as a Code Composer Studio project configuration. Click the Save Build Options As …button from the CodeSizeTune toolbar.Type the name, and clickSave.CodeSize TuneTo view this configuration, select this configuration from the Project Configuration dropdown menu. Or you can open the Project menu, select Configurations... and choose EnryNewConfig.From the Project menu, choose Rebuild All or click on the Rebuild All icon . This action rebuilds the project using the new projectconfiguration, which contains the function level build options defined by CodeSizeTune.Halt / Resume Collection Points If you would like to profile only certain portions of your application, you can use Halt / Resume points.When CST encounters a Halt point, it will stop collect profile information. When it subsequently encounters a Resume point, it will resume the collection of profile information.Halt / Resume Collection Points If you would like to profile only certain portions of your application, you can use Halt / Resume points.When CST encounters a Halt point, it will stop collect profile information. When it subsequently encounters a Resume point, it will resume the collection of profile information.Halt / Resume Collection Points If you would like to profile only certain portions of your application, you can use Halt / Resume points.When CST encounters a Halt point, it will stop collect profile information. When it subsequently encounters a Resume point, it will resume the collection of profile information.Halt / Resume Collection Points If you would like to profile only certain portions of your application, you can use Halt / Resume points.When CST encounters a Halt point, it will stop collect profile information. When it subsequently encounters a Resume point, it will resume the collection of profile information.Halt / Resume Collection PointsClick the Rebuild All and Profile All button on the Code Size Tune.Then we will see the visually represented code size –cycle numbers analysisDemoUsing CST ToolCCS Optimization Tool TutorialOverview of Application Code TuningCompiler Consultant Tool¾Introduction¾DemonstrationCode Size Tune Tool¾Introduction¾DemonstrationCache Tune Tool¾Introduction¾DemonstrationCacheTune Tool IntroductionThe CacheTune tool provides graphical visualization of memory reference patterns for program execution over a set amount of time.All the memory accesses are color-coded by typeThis enables quick identification of problem areas, such as areas related to conflict, capacity, or compulsory misses.The demonstration example performs the following operation on matrices A and B and stores the result in C.C = A <matrix operation> transpose (B)Setup the CacheTune ToolProfile ÆSetupEnable ProfilingThis activity measures the total cycles consumedby the entire application and calculates thetotal code size of the application.This activity tracks Program and Data Cache events, such as cache stall cycles, and thenumber of cache misses, during a profile run over functions and rangesof your choosing.Setup the CacheTune ToolFrom the Profile menu, launch Tuning→CacheTune. This selection launches the CacheTune tool in the main editor window.From the Profile Setup window, select the activityCollect Cache Information over time.This activity selects cache events to track overtime during a profile run over all memoryaddresses.Build, Load, and Execute the Program Now we areready to collectdata on cacheaccessesCacheTune Tool CacheTune graphically shows memory access patterns over time, color-coding the accesses to distinguish cache hits from cache misses.Cache hits are greenCache misses are redAccessed addresses are Y-axisAccess times are X-axis.CacheTune ToolPreparing to View Data Cache Accesses Now We will use CacheTune to visualize and analyze the memory access patterns in the cache and view the available symbolic information.In addition, we will learn to navigate within the tool and view a particular area using the zooming features.We will also see the optimization technical recommendations used to eliminate the cache misses in the data cache.When tuning, recommending start with data cache, because optimizing for data cache performance may lead you to modify your program, thus changing the memory access pattern of the program cache.CacheTune ToolClick on the Full Zoom button to view the entire traceCacheTune ToolMove the cursor across the display. The information display areaupdates with the current address range, section, symbol(if any), andcycle range.This provides the information of where (address)and when (cycle)cache events occur on which data (section and symbol)memoryaccess.CacheTune ToolYou can switch between these options to view different traceCacheTune ToolOnce CacheTune Tool identifies cache access patterns, you can op up Advise WindowClick the icon to see how each type of cache miss appears on the CacheTune Tool and how to improve it.CacheTune ToolThe advise window will also give you a example to avoid cache missCacheTune ToolBased on the help of Advise Window, most cache misses on L1D are capacity misses due to suboptimal data usage, that is, the algorithm does not reuse the data when they are still in cache. This type of miss can be reduced by restructuring the data in order to work on smaller blocks of data at a time.CacheTune ToolAfter modifying the data usage pattern in the program, we rebuild the modified program and now visualize the new data cache access pattern with the CacheTune ToolDemoUsing Cache Tune ToolTHANK YOUQ&A。

中英文对照外文翻译文献(文档含英文原文和中文翻译)译文:GA算法优化IIR滤波器的设计摘要本文提出了运用遗传算法(GA)来优化无限脉冲响应数字滤波器(IIR)的设计。

IIR滤波器本质上是一个递归响应的数字滤波器。

由于IIR 数字滤波器的表面误差通常是非线性的和多峰的，而全局优化技术需要避免局部最小值。

本文提出了启发式方式来设计IIR滤波器。

GA是组合优化问题中一种功能强大的全局优化算法，该论文发现IIR数字滤波器的最佳系数可以通过GA 优化。

该设计提出低通和高通IIR数字滤波器的设计，以提供过渡频带的估计值。

结果发现，所计算出的值比可用于过滤器的在MATLAB设计FDA工具更优化。

举个例子，采用的仿真结果表明在过渡带和均方误差(MSE)的改善。

零极点的位置也被提出来用来描述系统的的稳定性，以便将结果与模拟退火(SA)的方法相比较。

关键词：数字滤波器;无限冲激响应(IIR);遗传算法(GA);优化1.说明在过去的几十年中的数字信号处理(DSP)领域已经成长太重要的理论和技术。

在DSP中，有两个重要的类型系统。

第一类型的系统是执行信号滤波的时域，因此它被称为数字滤波器。

第二类型的系统提供的信号表示频域，被称为频谱分析仪。

数字滤波是DSP的最有力的工具之一。

数字滤波器能够性能规格，最好的同时也是极其困难的，而且不可能的是，先用模拟滤波器实现。

另外，数字滤波器的特性，可以很容易地在软件控制下发生变化。

数字滤波器被分类为有限持续时间脉冲响应(FIR)滤波器或无限持续时间脉冲响应(IIR)滤波器，这取决于该系统的脉冲响应的形式。

在FIR系统中，脉冲响应序列是有限的持续时间，即，它具有非零项的数量有限。

数字无限脉冲响应(IIR)滤波器通常可以提供比其等效有限脉冲响应(FIR)滤波器更好的性能和更少的计算成本，并已成为越来越感兴趣的目标。

但是，由于IIR滤波器的误差表面通常是非线性的，多式联运，传统的基于梯度的设计方法可以很容易地陷入错误的表面。

Acoustic noise cancellation algorithm using System objects in MATLAB (above left). Filter coefficients can be plotted to display their values before adaptation (top right) and after adaptation (bottom right).DSP Algorithms for System Design and PrototypingDSP System Toolbox lets you mathematically model the behavior of your system and then simulate the model to accurately predict and optimize system performance. Using the system toolbox, you can simulate digital systems in MATLAB and Simulink. When you use the system toolbox in Simulink, you can also model advanced systems such as mixed-signal and multidomain systems.Algorithms in DSP System Toolbox serve as building blocks of signal processing systems in communications, audio, speech, RADAR, control systems, image and video processing, medical, and industrial applications. Algorithm Libraries for DSPAll algorithms in the system toolbox—whether implemented as MATLAB functions, MATLAB System objects or Simulink blocks—support double-precision and single-precision floating-point data types. Most also support integer and fixed-point data types (requires Fixed-Point Toolbox™or Simulink Fixed Point™).Algorithm categories in the system toolbox include:▪Signal operations such as convolution, windowing, padding, modeling delays, peak finding, and zero-crossing ▪Signal transforms such as fast Fourier transform (FFT), discrete cosine transform (DCT), short-time Fourier transform, and discrete wavelet transform (DWT)▪Filter design and implementation methods for digital FIR and IIR filters▪Statistical signal processing tools for signal analysis and spectral estimation▪Signal management methods such as buffering, indexing, switching, stacking, and queuing▪Linear algebra routines, including linear system solvers, matrix factorizations, and matrix inverses▪Scalar and vector quantizer encoding and decodingPartial list of System objects available in MATLAB (top) and category view of blocks available in Simulink (middle), with expanded views of the Signal Processing Sources and Transforms block libraries (bottom).Modeling Multirate SystemsDSP System Toolbox supports multirate processing for sample rate conversion and the modeling of systems in which different sample or clock rates need to be interfaced. Multirate functionality includes multirate filters and signal operations such as upsampling, downsampling, interpolation, decimation, and resampling.Sigma-delta A/D converter model in Simulink showing signals operating at multiple sample rates.Variable-Size SignalsDSP System Toolbox supports signal inputs that can change in size and value at run time. A subset of System objects and Simulink blocks provide support for variable-size signals that change size during the simulation or during distinct mode-switching events that occur in the initialization of conditionally executed subsystems. Support for variable-size signals enables you to model systems with varying resources, constraints, and environments.Adaptive, Multirate, and Specialized Filter Design MethodsDSP System Toolbox provides many methods for designing and implementing digital filters. You can design filters with lowpass, highpass, bandpass, bandstop, and other response types and realize them using filter structures such as direct-form FIR, overlap-add FIR, direct-form II with second-order sections, cascade allpass, and lattice structures.You can design filters in several ways:at the MATLAB command line, interactively using FDA Tool or Filterbuilder, or in Simulink using the filter design block library.The system toolbox supports a number of design methods, including:Advanced equiripple FIR filters,including minimum-order, constrained-ripple, minimum-phase designs Nyquist and halfband FIR and IIR filters,providing linear phase, minimum-phase, and quasi-linear phase (IIR) designs, as well as equiripple, sloped-stopband, and window methodsOptimized multistage designs,enabling you to optimize the number of cascaded stages to achieve the lowest computational complexityFractional-delay filters,including implementation using Farrow filter structures well-suited for tunable filteringapplicationsAllpass IIR filters with arbitrary group delay, enabling you to compensate for the group delays of other IIR filters to obtain an approximate linear phase passband responseLattice wave digital IIR filters,for robust fixed-point implementationArbitrary magnitude and phase FIR and IIR filters,enabling design of any filter specificationSpecialized filter designs in MATLAB showing LMS adaptive filter applied to a noisy music signal (top left), arbitrary magnitude filter design (top right), direct-form FIR filter responses for fixed-point data types (bottom left), and octave filter design (bottom right).Adaptive FiltersDSP System Toolbox provides several techniques for the design of adaptive filters: LMS-based, RLS-based, affine projection, fast transversal, frequency-domain, and lattice-based. The system toolbox also includes algorithms for the analysis of these filters, including tracking of coefficients, learning curves, and convergence.Multirate FiltersDSP System Toolbox provides functions for the design and implementation of multirate filters, including polyphase interpolators, decimators, sample-rate converters, and CIC filters and compensators, as well as support for multistage design methods. The system toolbox also provides specialized analysis functions to estimate the computational complexity of multirate filters.Interactive design of a lowpass filter in the Filterbuilder tool (left) and visualization of magnitude response (right).Specialized Filters for DSP ApplicationsDSP System Toolbox lets you design and implement specialized digital filters, including:▪Audio weighting filters, octave filters, and parametric equalizer filters for audio, speech, and acoustic applications▪Pulse shaping, peak or notch, and multirate filters for communications systems▪Kalman filters for aerospace and navigation systemsUsing Filters in Simulink System ModelsThe digital filters you design in DSP System Toolbox can also be used in system-level models in Simulink. MATLAB functions and System objects enable you to generate bit-true Simulink models from MATLAB filter designs. You can also use filter design block libraries in DSP System Toolbox to design, simulate, and implement filters directly in Simulink.Streaming and Frame-Based Signal ProcessingDSP System Toolbox enables the efficient simulation of real-time signal processing systems by supporting streaming signal processing and frame-based processing in MATLAB and Simulink.Streaming and frame-based processing techniques accelerate simulations by buffering input data into frames and processing multiple samples of data at a time. Faster simulations are achieved due to the distribution of the fixed process overhead across many samples. Although these techniques introduce a certain amount of latency in the system, in many instances you can select frame sizes that improve throughput without creating unacceptable latencies.In MATLAB, streaming signal processing is enabled by using System objects to represent data-driven algorithms, sources, and sinks. System objects implicitly manage many details of stream processing, such as data indexing,buffering, and algorithm state management. You can mix System objects with standard MATLAB functions andoperators. MATLAB programs that use System objects can be incorporated into Simulink models via the MATLAB Function block. Most System objects have corresponding Simulink blocks with the same capabilities.In Simulink, DSP System Toolbox blocks process input signals as frames when the specified input processing mode on the block dialog is set to frame-based processing. DSP System Toolbox supports sample-based processing for low latency processes and for applications that require scalar processing. Many blocks support both sample-based and frame-based processing modes.Envelope detection algorithm illustrating stream processing in MATLAB with System objects. Simulation results are shown for both the Hilbert transform and amplitude modulation methods of envelope detection.Signal Generation, I/O, and VisualizationGenerating and Importing SignalsThe signals that you work with can be acquired from a variety of sources. You can:▪Import audio signals from multimedia files▪Record audio data from soundcards▪Acquire multichannel audio data in real time▪Receive UDP packets from an IP network portSimulation results can be exported to audio files, audio devices, or transmitted as UDP packets over an IP network.You can also generate binary signals, random signals, and common waveforms such as sine waves and chirp signals using functions in DSP System Toolbox.Visualizing Signals in Time and Frequency DomainsDSP System Toolbox provides several tools for time-domain and frequency-domain visualization: Time Scope, Spectrum Scope, Vector Scope, and Waterfall Scope.Visualizing time-domain signals in the Time Scope tool. Simulation controls enable starting, pausing and stopping simulations from within the Time Scope.The Time Scope displays signals in the time-domain and supports a variety of signals—continuous and discrete, fixed-size and variable-size, floating and fixed-point data, and N-dimensional signals. You can also display multiple signals on the same axes, where each input signal has different dimensions, sample rates, and data types. Simulation controls on the Time Scope let you start, pause, continue, take a snapshot, or stop the simulation without having to switch windows.The Spectrum Scope estimates the spectrum of a time-domain input signal and displays its frequency spectrum on a linear or log scale. Scope parameters enable you to specify FFT length, buffer size and overlap, and spectrum units.The Vector Scope is a comprehensive display tool similar to a digital oscilloscope. You can use it to plot consecutive time samples from a vector or to plot vectors containing data such as filter coefficients or spectral magnitudes.The Waterfall Scope displays multiple vectors of data at one time, where each vector represents the input data at consecutive sample times. This tool only displays real-valued, double-precision data.Fixed-Point Implementation and Code Generation for DSP System ModelsYou can use DSP System Toolbox with Fixed-Point Toolbox or Simulink Fixed Point to model fixed-point signal processing algorithms and analyze the effects of quantization on system behavior and performance.Fixed-point support in the system toolbox includes:▪Word sizes from 1 to 128 bits▪Overflow handing and rounding methods▪Logging overflows, maxima, and minima of internal variables▪Manual or automatic scaling▪Data type override options to control system-level data type settingsFixed-Point Modeling and SimulationYou can configure System objects and blocks in the system toolbox for fixed-Point modes of operation, enabling you to perform design tradeoff analyses by running simulations with different word lengths, scaling, overflow handling, and rounding method choices before you commit to hardware.Fixed-point modes are supported for several DSP algorithms, including:▪FFT, DCT, IFFT, IDCT, and other signal transforms▪Digital Filter, Biquad Filter, LMS Filter, and other filter implementations▪Mean, Variance, Autocorrelation, Histogram, and other statistics▪Levinson-Durbin, Forward Substitution, Backward Substitution, and other linear system solvers▪Matrix Multiply, Matrix Product, Matrix Sum, Matrix 1-Norm, and other matrix operations▪Cumulative Product, Cumulative Sum, Difference, Normalization, and other math operationsIn Simulink, DSP System Toolbox automates the configuration of blocks for fixed-point operation. For example:▪Accumulator and multiplier sizes are specified to ensure compatibility for specific hardware targets.▪Binary point of a filter’s coefficient is automatically located based on user-defined word length, precision, and actual values.▪Product output retains all bits in the products between filter coefficients and input values.▪Accumulator is configured to avoid overflows.Block dialog for FFT block in DSP System Toolbox. The dialog provides options for fixed-point data type specification of accumulator, product, and output signals (requires Simulink Fixed-Point).Fixed-Point Filter DesignFilter design functions in DSP System Toolbox enable you to design floating-point filters that can be easily converted to fixed-point data types with Fixed-Point Toolbox. This design flow simplifies the design of fixed-point filters and lets you easily analyze quantization effects.Generating C and HDL CodeUsing DSP System Toolbox with MATLAB Coder and Simulink Coder, you can generate C code from your algorithms and system models. The generated code can be used for verification, rapid prototyping, and implementation of your system during the product development process.Using DSP System Toolbox with Filter Design HDL Coder™, you can generate HDL code from digital filter designs. In Simulink, DSP System Toolbox blocks provide support for HDL code generation when used withSimulink HDL Coder™.Product Details, Demos, and System Requirements/products/dsp-systemTrial Software/trialrequestSales/contactsalesTechnical Support/support ResourcesOnline User Community /matlabcentral Training Services /training Third-Party Products and Services /connections Worldwide Contacts /contact© 2011 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See /trademarksfor a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.11。

xx大学《DSP嵌入式通信系统》课程设计报告题目：基于DSP系统的数字滤波器嵌入式设计学院： XX学院专业：通信工程班级：通信XXX学号： 0325姓名：XXX指导教师：XX2020年 12 月 31 日《DSP嵌入式通信系统》课程设计任务书一、课程设计的目的DSP嵌入式通信系统课程设计是专业实践环节之一，是学习完《DSP技术与应用》和《嵌入式系统》课程后进行的一次全面的综合练习。

其目的让学生把握通信系统的大体技术，提高学生的综合应用能力。

二、课程设计任务课程设计一、基于DSP系统数字滤波器嵌入式设计课程设计二、基于DSP系统快速傅里叶变换嵌入式设计课程设计三、基于DSP系统语音编码系统嵌入式设计课程设计四、基于DSP系统A/D与D/A与DSP的接口嵌入式设计课程设计五、基于DSP系统计时器系统的嵌入式设计共5个课题选择，学生任选一个课题为自己的课程设计题目，独立完成；具体内容按方向别离进行，不能有类似；任务包括原理介绍、系统仿真、波形分析等；要求按学校统一的课程设计标准撰写一份设计说明书。

三、课程设计时刻课程设计总时刻2周（10个工作日）四、课程设计说明书撰写标准一、在完成任务书中所要求的课程设计作品和功效外，要撰写课程设计说明书1份 (很多于20000字)。

课程设计说明书须每人一份，独立完成。

二、设计说明书应包括封面、任务书、目录、摘要、正文、参考文献(资料)等内容，和附图或附件等材料。

正文包括硬件设计的原理框图和原理图、软件设计的程序流程图和具体程序和实现算法，系统设计应该解决的关键问题、终止语或总结等。

3、题目字体用小三，黑体，正文字体用五号字，宋体，小题目用四号及小四，宋体，并用A4纸打印。

目录摘要 (I)前沿 (1)一、嵌入式实时操作系统μC/OS-Ⅱ简介 (1)二、DSP系统简介 (2)第一章、硬件设计 (3)1、设计思路和原理框图 (3)二、采纳的芯片功能介绍 (6)3、原理图 (7)第二章、软件设计 (11)1、设计思路 (11)2、程序的流程图 (12)3、具体程序 (13)第三章、系统设计应解决的关键问题 (21)第四章、设计心得 (23)参考文献 (24)摘要DSP是一门涉及许多学科而又普遍应用于许多领域的新兴学科。

ti system configuration tool用法Ti System Configuration Tool是一款用于配置和优化TI（Texas Instruments）微控制器和DSP（数字信号处理器）的工具。

它提供了图形化界面，使工程师可以方便地配置和调试硬件，包括设置时钟、电源、外设等。

以下是使用Ti System Configuration Tool的一些基本步骤：安装和启动：首先，你需要从Texas Instruments的官方网站下载并安装Ti System Configuration Tool。

安装完成后，打开软件并选择适当的芯片型号。

创建新项目：在主界面上，选择“File”菜单，然后选择“New Project”。

这将打开一个新的项目窗口，你可以在这里添加硬件配置文件和其他相关文件。

配置硬件：在项目窗口中，你可以看到一个硬件配置选项卡。

在这里，你可以配置各种硬件参数，如时钟、电源、外设等。

你可以通过拖放组件、设置参数和配置引脚来定制硬件配置。

生成代码：完成硬件配置后，你可以选择“Project”菜单中的“Generate Code”选项来生成C代码。

生成的代码将包括初始化代码和外设驱动程序，可以直接在微控制器上运行。

调试：你可以使用Ti System Configuration Tool的调试器来调试生成的代码。

在调试器中，你可以设置断点、查看变量值和执行代码等。

导出和导入配置：如果你需要共享硬件配置，你可以选择“File”菜单中的“Export Project”选项来导出项目文件。

你也可以选择“File”菜单中的“Import Project”选项来导入其他人共享的项目文件。

以上是使用Ti System Configuration Tool的一些基本步骤。

具体的使用方法可能会因不同的芯片型号和软件版本而略有不同。

因此，在使用该工具时，建议查阅Texas Instruments的官方文档和用户手册以获取更详细的信息和指导。

1、下载类.nv!——Net Transport （可下载mms:// rtsp://http://ftp://等协议）下载时的临时文件，下载完后自动去掉改后缀，通常影视下载不全时，可以重命名文件，去掉“.nv! ”，播放已下载部分,(2)打开播放器，然后选“文件”--》“打开”（所有类型），来选择该nv！文件。

此刻应先停止下载。

.jc!——Flashget 下载时的临时文件，下载完后自动去掉改后缀，通常影视下载不全时，(1)可以重命名文件，去掉“.jc! ”，播放已下载部分,(2)打开播放器，然后选“文件”--》“打开”（所有类型），来选择该jc！文件。

此刻应先停止下载。

2、影音文件asf,avi,wma,wmv,wmvdrip,mpeg，mpge，mpg 建议使用media player播放.dat 一般为数据文件，VCD光盘里是该文件类型，使用media player播放，手动打开文件，不能直接点击.xvid DivX播放器DivX Playerrm,rmvb,ram,ra 建议使用realplayer播放mov 建议使用quicktime播放;金山、网音等自己按其说明使用.idx+.sub、.sub、.srt、.ssa、.smi：字幕文件，装了VobSub 后，打开mediaplayer 后自动加载成字幕。

3、其他格式.png .jpg如果是图片，可以用ACDSee看图，如果是电影文件，请用Lovema 合并后打开。

jpeg，jpg，tiff，gif图片，可以用ACDSee看图.001 — .00n 等多文件使用x-split 合并后打开.rar等多文件，用winrar解压第一个，自动合并后打开.pdfAdobe Acrobat Reader 打开. s w f必须装有flash软件或flash player后才可以打开.flaflash的源文件.iso影像文件，用虚拟光驱软件打开，如Daemon ToolsMSF, CLUSTAL, FASTA, PHYLIP, MASE 队列格式使用SeaView 打开！.emloutlook express 邮件文件，用outlook express 打开asp,cgi,php；jsp,htm,html,xml网页格式，前三者需要运行环境才能在本地打开！Diz；Nfo：说明文格式。

DSP的发展、现况及其应用数字信号处理（Digital Signal Processing，简称DSP）是一门涉及许多学科而又广泛应用于许多领域的新兴学科。

DSP有两种含义：digital Signal Processing（数字信号处理）、Digital Signal Processor（数字信号处理器）。

我们常说的DSP指的是数字信号处理器。

数字信号处理器是一种适合完成数字信号处理运算的处理器。

20世纪60年代以来，随着计算机和信息技术的飞速发展，数字信号处理技术应运而生并得到迅速的发展。

在过去的二十多年时间里，数字信号处理已经在通信等领域得到极为广泛的应用。

数字信号处理是利用计算机或专用处理设备，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。

数字信号处理是以众多学科为理论基础的，它所涉及的范围极其广泛。

例如，在数学领域，微积分、概率统计、随机过程、数值分析等都是数字信号处理的基本工具，与网络理论、信号与系统、控制论、通信理论、故障诊断等也密切相关。

近来新兴的一些学科，如人工智能、模式识别、神经网络等，都与数字信号处理密不可分。

可以说，数字信号处理是把许多经典的理论体系作为自己的理论基础，同时又使自己成为一系列新兴学科的理论基础。

DSP主要应用在数字信号处理中，目的是为了能够满足实时信号处理的要求，因此需要将数字信号处理中的常用运算执行的尽可能快，这就决定了DSP的特点和关键技术。

适合数字信号处理的关键技术：DSP包含乘法器、累加器、特殊地址发生器、领开销循环等；提高处理速度的关键技术：流水线技术、并行处理技术、超常指令（VLIW）、超标量技术、DMA等。

从广义上讲，DSP、微处理器和微控制器（单片机）等都属于处理器，可以说DSP是一种CPU。

DSP和一般的CPU又不同，最大的区别在于：CPU是冯.诺伊曼结构的；DSP是数据和地址空间分开的哈佛结构。

extron dsp configurator 操作手册DSP Configurator™Software is the user interface for full control and management of an Extron DSP product and all of its audio functions,includingmixing,gain,dynamics,filtering,delay,microphoneducking,loudness,and feedback suppression.For AV switchers with integrated DSP capability,including the ExtronDTP CrossPoint®presentation matrix switchers,the DSP Configurator Software can also provide control of audio and video routing,including audio breakaway.Many DSP Products,One Software for ConfigurationDSP Configurator is the only DSP software required for most Extron DSP products,whether a dedicated audio mixer or an AV switcher with DSP.Each product offers different processing options based on the DSP engine inside.DSP Configurator tracks each product and allows complete control,so audio system professionals only need to be familiar with one DSP software.Graphical User EnvironmentAn integral part of the DSP Configurator Software is the Graphical User Environment,which allows for quick and easy visualization of all input and output signal paths inside asingle window.Working within this user-friendly environment,an audio system designer or installer can clearly view and adjust all input levels,audio DSP processing parameters,audio and video I/O ties,mixing points,and output levels.For AV switchers with integrated DSPcapability,video-specific options are alsoavailable,including HDCP status confirmation and video output muting.Easy Access to All Digital Signal Processing ToolsThe DSP Configurator Software provides access to all the DSP tools inside each Extron DSP product to simplify audio setup and optimization.These tools allow for control and management of gain,dynamics,filtering,delay,ducking,and feedback suppression,depending on the specific Extron DSP product.Selecting any processing block opens a dedicated pop-up window with a range of options and customizable parameters.Multiple windows can be open at the same time.Input and output levels can be monitored at any time by simply opening any of the input or output Gain,Trim,or Volume windows,or the convenient Console View window.Fixed Yet Flexible DSP ArchitectureThe DSP Configurator Software features a fixed layout of DSP processing blocks for each input and output signal chain.Each block offers flexible options and customizable parameters.For example,the Filter block contains several selectable filters,each of which can be customized as parametric EQ,low pass,high pass,or bass or treble shelving.Each processing block can be selectively bypassed.Emulate and Live ModesThe DSP Configurator Software features an Emulate mode,which provides complete audio system design while working offline on a PC.When connected to an Extron DSP product,Live mode enables real-time control of all settings,file updates,and archiving,plus active metering of all input and output channels.In Live mode,integrators can“push”all or part of a configuration to the DSP product from the PC,while preserving the existing file.Emulate and Live modes give audio system designers the flexibility to create an entire project from their PC in advance of installation,and then,once they are on-site,use the same software to provide accurate system setup and final optimization.SpeedNavOne of the challenges of on-site sound system optimization is the lack of sufficient workspace for a PC andmouse.Integrators or sound technicians often have to work with a laptop balanced on their lap,while trying to use the touchpad to navigate through windows and menus of the GUI for the audio DSP software.Working in this environment can be time-consuming and even frustrating.SpeedNav™simplifies this task by allowing the use of only the keyboard to access the GUI through directional keys and shortcuts.It is designed with sound technicians and sound system designers in mind.With SpeedNav,users will experience faster,easier setup and optimization while working in the field with laptop PCs to configure sound systems and refine audio DSP settings.Minimum Requirements•Intel®Intel Core 2 Duo or AMD equivalent•Microsoft®Windows 7/8/10 64 bit• Framework 4.6(updated after 2.19.0 release)• 2 GB or more recommended•Network connection,USB,or Serial port for device communication•65 MB disk space•1024x768 screen resolution,1920x1080 recommended 特性•Powerful yet user-friendly PC-based software tool for managing audio setup and operations of an Extron DSP product•Enables complete setup and configuration of digital audio processing tools•Intuitive Graphical User Environment—The DSP Config urator™Software features a Graphical User Environment that offers a clear view of all input and outputs,audio processing blocks,routing,and mix points in a single window.This allows a designer or installer to quickly view an audio configuration without having to access multiple windows or menus.•SpeedNav™keyboard navigation—SpeedNav enables user-friendly,keyboard-based navigation of the DSP Configurator Software without the need for a mouse or ing keyboard navigation keys andshortcuts,the user can access any input or output,mixpoint,and all audio DSP ing only the keyboard for software access can help expedite audio system setup and optimization while on-site using laptop PCs.•Copy and paste for processing blocks—To help speed audio system design and setup,parameter settings can be quickly copied between individual processing blocks or identical groups of blocks within the Graphical User Environment,using conventional cut-and-paste commands.•Building Blocks processor settings—A collection of pre-designed processor settings optimized for a specific type of input or output device,such as microphones and Extron speakers,with presetlevels,filters,dynamics,and more.Flexible Building Blocks are available on each I/O strip and allow system designers to fully customize and save their own Building Blocks,further streamlining audio system design and integration.Availability of this feature is dependent on the device.•Console View with gain settings,metering,and routing in a single window—An optional view within the DSP Configurator Software that allows system designers tosee all gain settings and routing,together with live metering in a single window.Console View provides overload indication,numeric values for levels,and also mute status for each input,gain stage,mix point,and output,so that settings between inputs and outputs can be easily compared and adjusted in one view.Availability of this feature is dependent on the device.•Live and Emulate operation modes with configuration file saving—Live mode allows integrators to connect to an Extron DSP product and make live parameter adjustments while hearing or metering them inreal-time.This avoids the need to compile and upload a configuration file to the DSP.Emulation mode allows settings to be configured offline,then uploaded to the unit.The software also downloads configuration files from the DSP for archiving.•DSP Configurator Presets—Using the DSP Configurator Software,any parameters for DSP processing,levels,or routing can be saved aspresets.These settings can be saved for the entire system,or any selected group of inputs,outputs,mix points,and DSP blocks.Availability of this feature isdependent on the device.•Group Masters—Provide the capability to consolidate gain or mute control throughout the system.Gain or mute controls can be selected and added to a group master,which can then be controlled by a single master fader or mute control.Availability of this feature is dependent on the device.•Soft limits provide optimal group master adjustment range—The group master volume range can be limited using soft limits to maintain optimal minimum and maximum levels when using external volume control.This prevents operators from over or under-adjusting levels when using digital I/O or RS-232 control.The DSP Configurator Software provides quick drag-and-drop adjustment of soft limits from the Group Controls screen.•Video signal presence and HDCP status confirmation—Provide real-time monitoring of video input signal activity,as well as the presence of HDCP-encrypted signals at the HDMI inputs,and whether the display connected to the HDMI output isHDCP-compliant.Availability of this feature is dependent on the device.。