MATLAB

these file are useful to simulate particle filter and beam forming and show that how to use bayseian filter reduce mmse

MODULATION AND DEMODULATION WITH NOISE AND AGAIN EXTRACTING IT FROM THE SIGNAL

说明：  本代码是GAUSS-SEIDEL迭代法、选主元JORDAN消去法、简单GAUSS消去法、选主元GAUSS消去法的MATLAB程序，有详细注释，可直接调用(This code is GAUSS-SEIDEL iteration, pivoting JORDAN elimination, simple GAUSS elimination, pivoting GAUSS elimination of the MATLAB program, with detailed notes, can be called directly)

说明：  可用于对原始信号进行经验模态分解（EMD）(It can be used for empirical mode decomposition (EMD) of the original signal.)

自己写的广义LDPC的程序，包括编译码，其中最重要的是一码算法，用的是chase算法，有很好的性能，希望可以跟大家交流改进(Generalized LDPC write procedures, including the encoding and decoding, most important of which is a code algorithm, using a chase algorithm has good performance, hoping to improve communication with everyone)

对于混沌系统用户信息方法求得时间延迟系数(DelayTime_MutualInformation)

强化学习源码，挺不错强化学习源码，挺不错的，分享一下的，分享一下(Source of reinforcement learning, reinforcement learning very good source, very good, share, and share)

This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion (This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion)

双声道语音的抗噪算法。开发者为Chanwoo Kim (chanwook@cs.cmu.edu)。(Noise reduction algorithm for dual channel speech. Developed by Chanwoo Kim (chanwook@cs.cmu.edu).)

optical flow for matching and differential