PSKRecovery

说明：  matlab实现的一个粒子滤波程序，可以用于目标跟踪领域。(matlab program to achieve a particle filter can be used for target tracking.)

神经网络的ELM算法，比传统的BP和SVM都快，而且效果也很精确。运行平台是matlab，本人已经对原始ELM做了修改，可以适应多种函数，而且在数据处理方面自动产生分类矩阵。(ELM neural network algorithm, than the traditional BP and SVM faster, but the effect is also very accurate. Platform is running matlab, I have to do the original ELM been modified to adapt to a variety of functions, but also in data processing is automatically generated classification matrix.)

the fuction performs thresholding to the eye images. this function can be used in implementing daugman algo for iris localization.

用matlab实现三维情况下波的传播仿真，带有PEC边界.！(realize the propogation of electromagnetic under 3-D situation，with respect to the perfect electronic condutor.)

coding for generating a mel filter bank for a given frequency vector

亲测，很好用的hash function(Pro-test, a good hash function used)

将多项式转化为向量，很方便你的使用啊学习matlab的童鞋们不用担心了(Into the polynomial vector, it is easy to use you ah)

matlab 语言编程实例 及仿真图像 原理图

matlab基础与编程入门 课件. 完整课件，可供教学使用。 (a complete set of teaching materials for matlab programming. )

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)