xaisezengqiangRetinex

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm. )

说明：  这是用小波变换模极大值重建信号的源程序，数据是一心电信号，在matlab6。5下实现，来源于胡广书的《现代信号处理教程》附属光盘，现提供给大家供大家学习参考，滤波部分可以根据个人情况进行修改。程序包含四个部份，其中wave_peak实现信号的分解并求出模极大值(This is the wavelet transform modulus maxima reconstruction of the source signal, data signal is bent in matlab6. 5 under, and from the HU-book "modern signal processing Guide" CD subsidiary, it is available to everyone for your study reference, filtering can be part of the personal changes . Procedures include four parts, with wave_peak signal decomposition and sought modulus maxima)

光流（运动估计）经典算法Horn and Schunck算法MATLAB程序(Horn and Schunck MATLAB)

用于UKF的matlab程序，希望对大家有点帮助，我也是试着修改的(ukf matlab programm)

这是matlab上关于图像分割和特征提取的一个小例证(This is a matlab on image segmentation and feature extraction on a small example of)

this is a matlab program which implement cmt algorithm for detection objects in signals

基于状态空间模型的预测控制算法，带有状态反馈控制(Predictive control algorithm based on State-space with State feedback control)

ventana algoritmo de filtro

This paper is based on emotion recognition of speech signals. Recognizing person s emotional state is an important task.

Monte-Carlo simulation for Critical Path Method, implemented in MATLAB. Uses criticalpath.m library, available for download as well. Function: calculate project length and standard deviation.