04-07-11

光子晶体点缺陷程序，特别是做光子晶体缺陷的同行，可以借鉴一下。(Photonic crystal point defect procedures, especially peers to do the photonic crystal defects, can learn.)

active apperance model for lipreadin

Please send to you my code matlab example3

JPEG compression with matlab

this is a very good mfile for small signal analyze

说明：  包含代码的基于元胞自动机的人员疏散对冲模拟文章(Cellular Automata-based Room Evacuation Simulation Paper with Code)

ROBOT intelligente control_chapiter2

CODE FOR COMPRESSING SEQUENCE USING INTEGER ARITHMETIC CODING.

此源码中包含了ButterWorth高通、低通，带通MATLAB仿真,Chebyshev高通、低通，带通MATLAB仿真,还有Notch,Peak MATLAB 仿真(This source includes ButterWorth high-pass, low pass, band pass MATLAB simulation, Chebyshev high-pass, low pass, band pass MATLAB simulation, as well as Notch, Peak MATLAB simulation)

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.