Using_the_MATLAB_PDE_TOOLBOX

function PSNR2 = psnr(I,I_iter) 计算峰值信噪比 I : 原始信号 I_iter : 加噪信号(function PSNR2 = psnr (I, I_iter) calculate the peak signal to noise ratio I: the original signal I_iter: adding noise signal)

说明：  用面包师算法进行图像的置乱，首先是将图像分为4个部分，对每一个部分采用不同的变换方法(With baker image scrambling algorithm, first the image is divided into four parts, each part of the transformation method using different)

发生在时变系统中所展示的频谱扩展。待仿真系统是一个简单系统，其中系统的代桶输入是一个形为x(t)=cos[2π(f0+f1)t]的“音频”。(Occurred in the time-varying system in spread spectrum display. Subject to the simulation system is a simple system in which the generation of the system input is a bucket-shaped to x (t) = cos [2π (f0+f1) t] of the " audio." )

主要有采样定理的主程序和FFT算法程序，能运行！(Mainly on the sampling theorem and the FFT algorithm program the main program can run! )

crc编译码的过程，程序比较简单易学，已经过验证。(CRC encoding and decoding)

用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。(Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.)

《node入门》是一本较好的入门级教材，本人起初也使用，通俗易懂。希望对大家有所帮助。("Node Getting Started" is a good entry-level textbook, I first use, easy to understand. We want to help.)

3 PHASE 3 LEVEL INVERTER

MATLAB智能算法30个案例分析 源代码(MATLAB intelligent algorithm source code analysis of 30 cases)

这是一个说话人识别的程序，其中有十个说话人，识别率可达到90 。执行时，执行“laststep.m”(This is a speech recognition program, including dozens of speaker recognition rate can reach 90 . Implementation, implementation " laststep.m" )