Rayleighsyc

盲信号分离的matlab程序，很好很实用，你值得拥有！(This program is made by Matlab 7.0.It is very good.you can prosess it )

使用simulink对LMS算法进行多径仿真，在实验中验证LMS系统在多径环境下仍表现较好的收敛性和跟踪性能。(use Simulink LMS algorithm for multi-path simulation, In the experiment verified LMS system in the multi-path environment is still better performance convergence and tracking performance.)

用matlab生成无标度网络，并对无标度网络进行分析(Using matlab to generate scale-free networks, and scale-free network analysis)

Tsai标定算法的精度验证程序，用matlab编写，可以画出重建图像(Tsai calibration algorithm for the accuracy of the verification process, the preparation of matlab, you can draw the reconstructed image)

用systerm generation完成BPSK的调制解调过程，这里原理简单易懂，程序来自一本日本书。(Systerm generation with the completion of the BPSK modulation and demodulation process, here the principle of easy-to-read, the program comes from a Japanese book.)

整形规划-数值计算 Matlab 工具，可以用于科学计算，效果堪比 CPLEX-Plastic Planning - Matlab numericcal tools can be used for scientific computing, the effect of rivals CPLEX (Shaping planning- numerical Matlab tools can be used for scientific computing, the effect is comparable to the CPLEX-Plastic Planning- Matlab numericcal tools can be used for scientific computing Industries Integrated Service, and the effect of rivals CPLEX)

matlab_图像分割算法源码 有很多经典的分割代码 可以应用于具体图像的操作中(image segmentation matlab source code)

Adaptive Filtering Primer with MATLAB Poularikas and Ramadan 2006 Code Examples and informations in Matlab for Adaptive Filtering

说明：  对心音信号进行小波三阶分解重构（默认阈值，软阈值）的matlab程序(wavelet decompose and redistribute matlab)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.