IEEE

SRAD filetr for speckle reduction .This filter is a variant of anisotropic diffusion which successfully removes speckle type noise from images.

说明：  pattern recognition MATLAB5

使用MATLAB实现声卡数据的实时采集处理(Using MATLAB to achieve real-time data acquisition and processing sound)

包含各种自适应滤波程序，线性、非线性，FIR及IIR,matlab实现(Program includes a variety of adaptive filtering, linear, nonlinear, FIR and IIR, matlab implementation)

自己编写的卷积和打孔代码，已通过Matlab函数验证。(Convolutional encoding and puncturing 4/6, verified.)

core loss efeect matlab files

柱形统计图，能够直接得出图像的灰度直方图。 里面有程序的源代码(Histogram, can directly draw the image histogram. There are procedures for source code)

matlab遍历算法程序，对所有的元素都遍历一篇，已经验证可用(traversal algorithm matlab procedures, all the elements are traversed one has been used to verify)

产生一个随机输出信号在瑞利信道上可以用来生成MATLAB仿真模块。(This program will generate a random signal output by Rayleigh channel can be used to generate MATLAB simulation module.)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.