jc1

i have uploaded some denoising and compression files

数值分析中的最小二乘法应用面广，简单实用，也可以应用到工程实际中去(Numerical analysis of a wide range of application of the least square method is simple and practical, but also can be applied to engineering practice to)

This is the file for sensorless model referance adaptive system.

LDPC编码程序--C语言的 能充分了解和学习该方面的技术(LDPC coding procedures C language can fully understand and learn the technical)

均值移动meanshift的matlab源码，做这方面的朋友不妨试试。(Mean mobile meanshift the matlab source code, make friends in this area worth a try.)

维纳滤波器的matlab实现外加实验报告，有程序(Wiener filter matlab plus the realization of the experimental reports, there are procedures)

蚁群聚类算法，较好的实现了带聚类数据的聚类，已知了聚类数目。(ant conoly clustering)

当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下(when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of*.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for*.* (take care not to lose a single quote) x, y election Hiding information )

说明：  语音信号处理实验_matlab源码edp方法(Experimental _matlab source speech signal processing)

说明：  瑞利随机数的生成，通过两个同方差的正态分布而求得，并求出其PDF和CDF(Rayleigh random numbers generated by two normal distribution with variance that obtained and solved its PDF and CDF)