12864实现菜单( 可以实现多级菜单，容易学习)

DSP CCS的入门、进阶的经典合集。内含cmd文件的具体编写，以及烧写flash的相应步骤等等。

【实例简介】图像处理运算，可以对灰度图像进行边缘提取 ，种子填充，轮廓跟踪，轮廓提取

Matlab 官方有关于HDL coder开发的详细技术文档， HDL Coder可以把Simulink模型、MATLAB代码和Stateflow框图生成位真、周期精确、可综合的Verilog和VHDL代码，很适合用于FPGA/ASCI的快速开发，里面还有大量的例程等等ContentsHDL Code generation from MATLaBMATLAB Algorithm DesignData Types and scope1-2Supported data TUsuppyted data type1-3Scope for variables1-3Operators1-4Arithmetic operate1-4Relational operators1-4ogical Operators1-5Control flow statements1-6Vector Function Limitations related to Control1-7PersistentⅤ ariables1-8Persistent Array variables1-10Complex data Type Support1-11Declaring complex signaIs1-11Conversion Between Complex and real signals1-12Support for vectors of Complex Numb1-12ystem Objects1-14Why use System objects?1-14Predefined System Object1-14User-Defined System ob1-14Limitations of HDL Code Generation for SystemObjects1-15System object Examples for HDL Code Generation.. 1-16Predefined System Objects Supported for HDL CodeGeneration1-17Load constants from a mat-file1-18Generate Code for User-Defined System Objects1-19How To Create a User-Defined System object1-1User-Defined System object Example1-19Map Matrices to ROM1-22Fixed-Point bitwise Functions1-231-23Bitwise Functions Supported for HDl Code Generation 1-23Fixed-Point Run-Time Library functions1-29Fixed-Point function limitations1-33Model State with Persistent variables and SysteObjects1-34Bit Shifting and bit rotation1-8Bit Slicing and Bit Concatenation1-41Guidelines for Efficient hdL code1-43MATLAB Design Requirements for HDL CodeGeneration1-44What is a matlab test bench?1-45MATLAB Test Bench Requirements and bestractices1-46MATLAB Test Bench requirements1-46MATLAB Test bench best practices1-46ContentsMATLAB Best Practices and Design Patterns forHDL Code generation2Model a counter for hdl code generation2-2MATLAB Counter2-2MATLAB Code for the counter2-3Best Practices in this Example2-4Model a state machine for HDL Code Generation2-5MATLAB State machinesMATLAB Code for the Mealy State MachineMATLAB Code for the moore state machine2-7Best practic2-9Generate hardware Instances For local functions2-10MATLAB Local functions2-10MATLAB Code for mlhdlc two counters. m2-10Implement RAM USing MATLAB Code2-13Implementation of RAM2-13Implement RAM Using a Persistent Array or Systemobject Properties2-13Implement RAM Using hdl. RAM2-14For-Loop best Practices for HDL Code generation2-16MATLAB Loops2-16Monotonically Increasing Loop Counters2-16Persistent Variables in Loops2-17Persistent Arrays in Loops2-17Fixed-Point Conversion3Floating-Point to Fixed-Point Conversion3-2Fixed-Point Type Conversion and Refinement3-16Working with Generated Fixed-Point Files3-26Specify Type Proposal Options3-33Log Data for Histogram3-37Automated Fixed-Point Conversion3-40License Requirements3-40Automated Fixed-Point Conversion Capabilities3-40Code Coverage3-42Proposing Data Types3-45Locking Proposed Data Types3-47Viewing functions3-47lew1ariables3-48Istogram ...3-54Function Replacements3-56Validating Types3-57g Numerics3-57Detecting Overflows3-57Custom plot functions3-59Visualize Differences Between Floating-Point and Fixed-Point results3-61Inspecting Data Using the Simulation Data Inspector 3-67What Is the Simulation Data Inspecto3-67Import Logged Data3-67Export Logged data3-67Group signals3-67Run options3-68Create Report3-68Comparison Options3-68Enabling Plotting Using the Simulation Data Inspector 3-68Save and Load simulation Data Inspector Sessions3-68Enable Plotting Using the Simulation Data Inspector 3-70From the UI3-70From the Command Line3-70Replacing Functions Using Lookup TableApproximations·3-72Replace a custom function with a lookup Table3-73From the UI3-73i ContentsFrom the Command line3-81Replace the exp Function with a Lookup Table3-84From the ui3-84From the Command line3-92Data Type Issues in Generated Code3-94Enable the highlight Option in a MaTLAB CoderProject3-94Enable the Highlight Option at the Command Line... 3-94Stowaway doubles3-94Stowaway singles3-94Expensive Fixed-Point operations3-94Code GenerationCreate and set Up Your Project4-2Create a New Project4-2Open an Existing ProjectAdd Files to the project4-4Primary Function Input Specification4-6When to Specify Input Properties4-6Why You must Specify Input Properties4-6Properties to Specify4-6Rules for Specifying Properties of Primary Inputs4-8Methods for Defining Properties of Primary Inputs4-8Basic hdl code generation with the workflowAdvisor4-10HDL Code Generation from System Objects4-14Generate Instantiable code for functions4-19How to generate Instantiable Code for Functions4-19Generate Code Inline for Specific Functions4-19Limitations for instantiable code generation forFunctions4-19Integrate Custom HDL Code Into MATLAB Design.. 4-21Define the hdl. Black Box System object4-21Use System object In MATLAB Design Function4-23Generate HDL Code4-23limitations for hdl. black box4-26Enable matLab function block generation4-27Requirements for MaTLAB Function Block Generation 4-27Enable matlab function block generation4-27Results of matlab function block generation4-27System Design with HDL Code Generation fromMATLAB and simulink4-28Generate Xilinx System Generator Black Box Block4-32Requirements for System Generator Black Box BlockGeneration4-32Enable System Generator black Box block GeResults of System Generator Black Box Bloc neration4-32Generation4-33Generate Xilinx System Generator for DsP black boxfrom MATLAB HDL Design4-34Generate HDL Code from MATLAB Code Using theCommand line interface4-40Specify the Clock Enable rate4-45Why specify the clock Enable rate?4-45How to Specify the clock Enable rate4-45Specify Test Bench Clock Enable Toggle rate4-47When to Specify Test Bench Clock Enable Toggle rate4-47How to Specify Test Bench Clock Enable Toggle rate4-47Generate an HDL Coding Standard report fromMATLAB4-49Using the hdl Workflow advisor4-49Using the Command Line4-51Generate an HDL Lint Tool script4-53How To generate an hdl lint Tool Script4-53ContentsGenerate a Board-Independent Ip core from MATLAB 4-55Generate a board-Independent Ip core4-55Requirements and Limitations for IP Core generation4-57Minimize clock enables4-58Using the GUi4-59Using the Command Line4-59Limitations4-59VerificationVerify Code with HDL Test Bench5-2Generate Test bench with file i/oWhen to Use file i/o In Test bench5-5How Test bench generation with file i/o works5-5Test Bench Data files5-5How to generate Test bench with file i/o5-6Limitations When Using File 1/0 In Test Bench5-6DeploymentGenerate Synthesis Scripts6-2Optimization7RAM Mapping7-2Map persistent Arrays and dsp. Delay to RAM7-3How To Enable RaM Mapping7-3RAM Mapping requirements for Persistent Arrays andSystem object PropertiesRAM Mapping Requirements for dsp. Delay Systemob7-6RAM Mapping Comparison for MATLAB Code7-8Pipelining7-9Port registers7-9Input and Output Pipeline registers7-9Variable pipelining7-9Register Inputs and Outputs7-10Insert Input and Output Pipeline registers7-11Distributed Pipelining7-12What is Distributed Pipelin7-12Benefits and Costs of Distributed pipelining7-12Selected Bibliograph7-12Pipeline matlab variables7-13Using the hdl Workflow Advisor7-13Using the Command Line Interface7-13Limitations of MatlAB Variable Pipelining7-13Optimize MatLAb loops7-15oop Streaming7-15Loop unrolling7-15How to Optimize maTLaB loops7-15Limitations for MaTLAB Loop Optimization7-16Constant Multiplier optimization7-17Specify constant multiplier optimization7-19Distributed Pipelining for Clock Speed Optimization7-20Map Matrices to Block RAMs to Reduce Area7-27Resource Sharing of Multipliers to Reduce Area7-32Loop streaming to Reduce Area7-41Contents

数据挖掘在淘宝卖家评论中的应用，数据挖掘和文本挖掘实例

labview

在systemview下搭建的ofdm收发信机，包含加cp和去cp的m-link模块

【实例简介】二叉排序树，用前序遍历是就是增序排列，的创建删、插入、查询

车牌识别matlab实现 车牌定位、字符分割、字符识别是车牌识别的三个重要组成部分,是车牌识别技术研究的重点。

基于MATLAB程序的支持向量机psoSVMcgForRegress:回归问题参数寻优[pso based on CV]函数接口:[bestCVmse,bestc,bestg,pso_option] = psoSVMcgForRegress(train_label,train,pso_option)=======================================gaSVMcgForClass:分类问题参数寻优[ga based on CV]函数接口:[bestCVaccuracy,bestc,bestg,ga_option] = gaSVMcgForClass(tr

高阶统计量分析方法是一种重要的非高斯信号分析方法，在此上传张贤达的这本书，希望对大家的学习有所帮助专题内容概述高阶统计量的定义、性质和估计155()高阶矩、高阶累积量及其谱·*·····“········““··“·(二)高阶累积量与高阶谱的性质三)高阶累积量与高阶谱的估计…......19、非最小相位系统的辨识21(一)基本问题21(二)MA系统的辨识.25(三)ARMA系统的辨识…135四、谐波恢复42()基本问题42()谐波恢复的高阶累积量方法……………·………43五、空间窄带信号源的波达方向估计()基本问题46(二)基于二阶统计量的DOA估计方法及其不足.147(三)基于高阶统计量的DOA估计方法53、概述高阶统计量( (Higher-order Statistics)是指比二阶统计量更高阶的随机变量或随机过程的统计量。二阶统计量有:〉随机变量(矢量):方差、协方差(相关矩)、二阶矩。随机过程:自相关函数、功率谱、互相关函数、互功率谱、自协方差函数等高阶统计量有:随机变量(矢量):高阶矩( Higher-order Moment),高阶累积量(Higher-order Cumulant)随机过程:高阶矩、高阶累积量、高阶谱( Higher- order Spectra,Polyspectra)。从统计学的角度,对正态分布的随机变量(矢量),用一阶和二阶统计量就可以完备地表示其统计特征。如对一个高斯分布的随机矢量,知道了其数学期望和协方差矩阵,就可以知道它的联合概率密度函数。对一个高斯随机过程,知道了均值和自相关函数(或自协方差函数),就可以知道它的概率结构,即知道它的整个统计特征。但是,对不服从髙斯分布的随机变量(矢量)或随机过程,一阶和二阶统计量不能完备地表示其统计特征。或者说,信息没有全部包含在一二阶统计量中,更高阶的统计量中也包含了大量有用的信息。高阶统计量信号处理方法,就是从非高斯信号的高阶统计量中提取信号的有用信息,特别是从一、二阶统计量中无法提取的信息的方法。从这个角度来说,高阶统计量方法不仅是对基于相关函数或功率谱的随机信号处理方法的重要补充,而且可以为二阶统计量方法无法解决的许多信号处理问题提供手段。可以亳不夸张地说,凡是使用功率谱或相关函数进行过分析与处理,而又未得到满意结果的任何问题,都值得重新试用高阶统计量方法。高阶统计量的概念于1889年提出。高阶统计量的研究始于六十年代初,主要是数学家和统计学家们在做基础理论的研究,以及针对光学、流体动力学、地球物理、信号处理等领域特定问题的应用研究。直到八十年代中、后期,在信号处理和系统理论领域才掀起了高阶统计量方法的研究热潮。标志性的事件有:1. K. S. Lii. m. rosenblatt "Deconvolution and Estimation of TransferFunction phase and Coefficients for non-Gaussian Linear processes AnnStatistcs, Vol, 10, pp. 1195-1208, 1982首次用高阶统计量解决了非最小相位系统的盲辩识问题。2.C.L. Nikias,M.R. Raghuveer的综述文章“ Bispectrum Estimation:ADigital Signal Processing Framework”在Proc.正EE发表,1987July3.1989、1991、1993、1995、1997、1999年举办了六届关于高阶统计量的信号处理专题研讨会(海军研究办公室,NSF, IEEE Control SystemSociety, IEEE ASSP Society, IEEE Geoscience and Remote sensingSociety4. IEEE Trans.onAC1990年1月专辑5. IEEE Trans, on AssP1990年7月专辑。6.J.M. Mendel的综述文章 Tutorial on Higher- Order statistics( Spectra)inSignal Processing and System Theory: Theoretical Results and SomeApplications”.Proc,正E,1991(主要是关于非最小相位系统辨识)。7.C.L. Nikias&A.P. Petropula的专著 Higher-order Spectral Analysis:ANonlinear Processing Framework,由 Prentice-Hall I1993出版。8. Signal Processing,19944月专辑。9. Circuits, Systems, and Signal Processing,1994.6月专辑。高阶统计量方法已在雷达、声纳、通信、海洋学、电磁学、等离子体物理、结晶学、地球物理、生物医学、故障诊断、振动分析、流体动力学等领域的信号处理问题中获得应用。典型的信号处理应用包括系统辨识与时间序列分析建模、自适应估计与滤波、信号重构、信号检测、谐波恢复、图像处理、阵列信号处理、盲反卷积与盲均衡等。在信号处理中使用高阶统计量的主要动机可以归纳成四点1、抑制未知功率谱的加性有色噪声的影响。2、辨识非最小相位系统或重构非最小相位信号。自相关函数或功率谱是相盲的,即不包含信号或系统的相位信息。仅当系统或信号是最小相位时,二阶统计量的方法才能获得正确的结果。相反,高阶统计量既包含了幅度信息,又保留了信号的相位信息,因而可以用来解决非最小相位系统的辨识或非最小相位信号的重构问题。3、提取由于高斯性偏离带来的各种信息对于非高斯信号,其高阶统计量中也包含了大量的信息。对模式识别、信号检测、分类等问题,有可能从高阶统计量获得信号的显著分类特征,4、检测和表征信号中的非线性以及辨识非线性系统。如用来解决非线性引起的二次、三次相位耦合问题。参考资料:1、张贤达,《时间序列分析一高阶统计量方法》,清华大学出版社,1996。2、沈凤麟等,《生物医学随机信号处理》(第9章),中国科学技术大学出版社,1999。3 J M. Mendel. "Tutorial on Higher-order Statistics(Spectra) in SignalProcessing and Systems Theory: Theoretical Results and SomeApplications. Proc. IEEE, Vol. 79, pp. 278-305, 19914, C. L. Nikias A. P, Petropulu. Higher-order Spectral Analysis: ANonlinear Processing Framework. Prentice-Hall. 19935 C L. Nikias J. M. Mendel.Signal Processing with Higher-orderSpectra. IEEE Signal Processing Magazine, Vol 10, July, pp 10-37, 19936 C. L Nikias M. R Raghuveer." Bispectrum Estimation: A DigitalSignal Processing Firamewoork". Proc. IEEE, Vol. 75, pp. 869-891, 19877 P. A. Delaney d. O. Walsh. " A Bibliography of Higher-Order Spectraand Cumulants". IEEE Signal Processing Magazine, Vol 11 July, pp. 61-7019948、J.A. Cadzow.“ Blind Deconvolution via Cumulant Extrema”.IEEESignal Processing Magazine, Vol 13, No 3, pp 24-42, 1996www.ant,uni-bremen.edu.de/hoshome二、高阶统计量的定义、性质和估计(一)高阶矩、高阶累积量及其谱从随机变量→随机矢量→随机过程)1、随机变量的特征函数与累积量定义:设随机变量x具有概率密度fx),其特征函数定义为(s)=f()edx=Eel其中s为特征函数的参数。(可看作八x)的拉普拉斯变换)特征函数Φ(s)只是参数s的函数。对Φ)求k次导数,可得Φ^(s)=Exe因此(O)=E}=m也就是说)在原点阶导数等孩x阶筹k。因此,Φ(s)也称作矩生成函数(又叫第一特征函数)。矩生成函数可以唯一地、完全地确定一个概率分布。这可由矩生成函数唯一性定理阐明:定理:设F(x)和G(x)是具有相同矩生成函数的分布函数,即:e dF (x)= esdG(x)则F(x)=G(x)由矩生成函数可以定义随机变量κ的累积量生成函数(又叫第二特征函数)及累积量。定义:设随机变量x的矩生成函数为Φ(s),则函数H(s)=nΦ(s)称为x的累积量生成函数,而v()在原点的k阶导数dky(s)ds k0称为x的k阶累积量如果将s)和v展开成 Taylor级数,根据以上定义,就会有①(s)=1+m1S+m2S2+…+,,mkS+…k!(2+4+x12cmk!k1也就是说,x的k阶矩和累积量分别是其矩生成函数和累积量生成函数的Taylor级数展开中s项的系数。2、随机矢量的特征函数与累积量定义:令x=[x,x2,…,x是一随机矢量,且s=s,s2,…,sr,则随机矢量x的矩生成函数定义为Φ(S1SES11+2x2+…+Skxkl52为Ex的累积量生成函数定义为(S1,S2,…,Sk)=lnΦ(s1,x的(vy2…,w)阶矩和累积量分别定义为矩生成函数和累积量生成函数的Iayr级数展开中S1S2…S项的函数,即0Φ(S1,s2;…,s)ExVIS"Y(1521512skas1Os2…ask其中vko对v=V2=…=认=1的特殊情况,记随机矢量x的矩和累积量分别为mom(,,cum(Y1X我们下面将用它们来定义随机过程的高阶矩和累积量。3、随机过程的高阶矩和高阶累积量定义:设{x(n)}为k阶平稳随机过程,则该过程的k阶矩定义为ma(z1,z2,…,k-)=mom{x(n),x(n+),…,x(n+xk-1)}而k阶累积量定义为cs(1,z2,…,k-)=cum{x(m),x(nt+),…,x(n+tk1)}根据这一定义,平稳随机过程的k阶矩和k阶累积量实质上就是取x1=x(n),x2=x(n+a),…,x=x(n+k)之后的随机矢量[(n),x(n+z),…,