MIMO

pdetool编程及实现， 用它可以实现一定的编程与实现。(pdetool programming and implementation of programming and implementation, you can use it.)

project report for classification

创建和编辑包 创建一个包需要指定： · 包的一个名字。 · 新包要求使用或链接的其他包的列表。 · 包编译时包含或绑定的单元文件的列表。包实质上是这些包含已编译.BPL功能的源代码单元的封装，包含（Contains）列表是想编译进包的定制组件的源代码单元放置的地方。一个包由C++源文件（.CPP）和扩展名为.BPK的工程选项文件定义。这些文件由包编辑器生成。 (Creating and editing package to create a package needs to be specified: a name of the package. The new package requires the use of or linked list of other packages. Compile a list of unit package that contains the file or binding. These packages contain essentially compiled. Source code package BPL unit functions, including (Contains) list is to source code modules compiled into the custom component package placed. A package of C++ source file (. CPP) and the extension. Engineering options file defines the BPK. These files are generated by the package editor.)

给出了信号压缩通常的变换-量化-编码函数。DHT函数为离散DHT变换，是FFT变换的近似，其正反变换相同，克服了FFT复系数不利于存储的缺点。LLMAX函数给出了某x序列在固定比特下的最佳量化输出。熵编码函数为霍夫曼编码。(Gives the signal compression usually transform- quantitative- coding function. DHT DHT discrete transform function, the FFT transform approximation, the same positive and negative transformation, overcoming complex FFT coefficient is not conducive to storage shortcomings. LLMAX function x is given a fixed bit sequence in the optimum quantized output. Entropy coding function as Huffman coding.)

本书从Matlab的基础知识入手，在详细介绍各种命令的同时，向读者介绍Matlab在高等数学，线型代数、符号运算、图形图象处理、数据处理等方面的应用和外部接口程序设计。(This book from the start with a basic knowledge of Matlab, in detail the various commands at the same time, to introduce readers to Matlab in higher mathematics, linear algebra, symbolic computation, graphics, image processing, data processing applications and external interface programming.)

ROC曲线~在信号检测理论中,接收者操作特征(receiver operating characteristic),或者叫ROC曲线是一种对于灵敏度进行描述的功能图像.ROC曲线可以通过描述真阳性率(TPR)和假阳性率(FPR)来实现.由于是通过比较两个操作特征(TPR和FPR)作为标准,ROC曲线也叫做相关操作特征曲线(ROC curve ~ in signal detection theory, the receiver operating characteristics (receiver operating characteristic), or called the ROC curve is a function that describes the sensitivity of the image. ROC curve can describe the true positive rate (TPR) and false positive rate ( FPR) to achieve. because it is by comparing the two operating characteristics (TPR and FPR) as a standard, ROC curve is also called the relevant operating characteristic curve)

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

image procecing m file machine vision m file

说明：  这是这段时间 在网上荡的 MATLAB 与CCS联调的资料。里面包含的联调的命令，以及一个完整的FIR 程序，利用MATLAB与CCS的联合实现！希望对大家有用。。。(This is a time-line swing of MATLAB and CCS FBI data. Which included the FBI' s command, as well as a complete FIR program using MATLAB and CCS, the joint realization of! Want to be useful to everyone. . .)

Script to generate a Monte Carlo plot of number of measurements M vs reconstruction SNR in dB