PAPR

View a SMS .2dm mesh file in MATLAB using patch

说明：  自己搭建的matlab电机仿真中的SVPWM模块，其中U_alpha,U_beta为电压输入，T为开关周期，U_dc为直流母线电压，PWM为六路脉冲信号，绝对好用(Matlab built their own motor simulation SVPWM module, which U_alpha, U_beta the voltage input, T is the switching cycle, U_dc for the DC bus voltage, PWM pulse signal for the six-way, absolutely easy to use )

说明：  MATLAB的自适应信号处理，可以提高信号处理的软件编程(MATLAB Adaptive signal processing, can improve the signal processing software programming)

所有LSB算法的代码实现。对做信息隐藏方面很有帮助(LSB algorithm code. Hidden aspects helpful to do information)

用MATLAB和VC对图像用SUSAN算法和Harris算法进行图像角点提取，还有自适应的SUSAN算法的角点提取(MATLAB and VC with SUSAN Harris algorithm for image image corner extraction, and adaptive SUSAN corner extraction algorithm)

主成分分析法的matlab源程序，有用这种方法处理图像的不妨一试(Principal Component Analysis of the matlab source code, useful this method may wish to deal with images of one test)

对MATLAB的MAT文件进行读书，用C++语言实现(read and write mat files, using C++ Language)

说明：  MATLAB外部程序实用手册(包含详尽）(MATLAB external program Practical Handbook (includes exhaustive))

中文名称：主成分分析 英文名称：principal component analysis 定义：一种统计方法，它对多变量表示数据点集合寻找尽可能少的正交矢量表征数据信息特征。 (Chinese name: Principal component analysis of the English name: principal component analysis defined: a statistical approach, where the variable represents the collection of data points to find the lowest possible number of orthogonal vector characterization data characteristics.)

单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的CA算法仿真。一些程序主要是为了绘图，画出CA-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算CA-CFAR检测过程中的检测概率和虚警概率。(CA-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using CA-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of CA-CFAR algorithm.)