GUI-netural-network-application

该程序使用MATLAB实现了车牌识别，已通过测试，使用方法有边缘检测，腐蚀等操作(The program use MATLAB the license plate identification, already through the test, and method of use have edge detection, corrosion and other operational)

关于无穷大电源的一个仿真模型，模型很简单，但是很实用。(About the infinite power of a simulation model, the model is very simple, but very practical.)

Sep protocol in wireles sensor network

可靠性——有效度最大原则选择维修最佳间隔期(Reliability- the principle of maximum validity choose the best maintenance interval)

对一会度图片加入高斯噪声和椒盐噪声，并进行中值滤波和均值滤波处理(Degree of a picture will be added Gaussian noise and salt and pepper noise and median filter and mean filter processing)

用MATLAB编的图像模糊和复原的程序(Image made using MATLAB Fuzzy and recovery procedures)

MATLAB高斯噪声生成函数（用于通信）(MATLAB function to generate Gaussian noise (for communication))

matlab仿真程序，有关信道编码中turbo码的编译码程序(matlab simulation program, the channel coding and decoding process in the turbo code)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

Huffman编码解码 matlab程序(huffman encoding and decoding program written by matlab )