E_plot

blind image data using RDWT SVD algorithm.watermarking using a wavelet algorithm and a compression (SVD) algorithm....

chua matlab model simple analysis A solution of these equations (I3,V2,V1)(t) starting from an initial state (I3,V2,V1)(0) is called a trajectory of Chua s oscillator. This function uses a RungeKutta integration method optimised for the chua paradigm Reference: ABC - Adventures in Bifurication & Chaos ... Prof M.P Kennedy 1993

关于信源编码和信道编码的源程序，信道编码包括NRZ码及其频谱分析，信道编码是关于RS码的分析(About the source code of the source coding and channel coding, channel coding NRZ code and its spectrum analysis, channel coding on the analysis of RS code)

采用数据拟合法进行的高斯白噪声信道下的信噪比估计，程序中有经典summer法以及本人自己拟合的二阶和三阶参数，适用于不同的信噪比范围，望大家一起交流(By data fitting of the Gauss white noise channel SNR estimation, the program in the classic summer method as well as my own fitting of the two order and three order parameters, applicable to different SNR range, hope everybody exchanges together)

matlab数据的预处理代码，小波分析等等等(Pretreatment code matlab wavelet analysis data, etc., etc.)

Tiny Voice—is based on a low-cost, 20-pin single-chip controller. It’s a speaker-dependent, templatebased, isolated-word recognizer. You train it to recognize your voice.

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units

说明：  基于MATLAB的通信系统的仿真,包括了许多例子(MATLAB-based simulation of communication systems, including the many examples)

此为基于二代提升小波的阈值压缩算法源码，其中可以设置小波变换的分解层数，使用的小波名称，及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制，方便在其上进一步压缩，如采用Huffman压缩等，程序思路清楚，附有完整的注释，可以使用多种小波，并且很好得体现了二代小波的思想，对于初学小波者帮助很大。(based on the second generation of this upgrade wavelet compression algorithm threshold source, which can set wavelet transform decomposition level, the use of wavelet name, threshold levels and set the formula for calculating the parameters. And low-frequency coefficients into hexadecimal facilitate its further compression, such as the Huffman compression. procedures ideas clearly, with the integrity of the Notes, you can use a variety of wavelet, and reflected very well in the second generation wavelet thinking, For beginners who wavelet of great help.)

使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。(The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.)