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CLAHE: contrast limited adaptive histogram equalization is one of the most famous algorithm in image enhancement

现代通信系统使用MATLAB第二版（中英文pdf及所有程序m文件）(Contemporary Communication Systems Using Matlab By:JohnG.Proakis )

The method works as follows. 1. For a data set with dimensionality, d, compute the variance of data in each dimension (column). 2. Find the column with maximum variance call it cvmax and sort it in any order. 3. Divide the data points of cvmax into K subsets, where K is the desired number of clusters. 4. Find the median of each subset. 5. Use the corresponding data points (vectors) for each median to initialize the cluster centers.

particle swarm optimization method

FDTD-PML 算法的实现，效果好,大家一起研究，第一次上传，望指教(FDTD-PML method, with perfect results)

MATLAB的命令大全，包括常用的所有命令，在信息处理方面的应用 (MATLAB command Daquan, including all the commands commonly used in information processing applications)

基于卷积码，AWGN信道的OFDM系统仿真(Based on convolutional codes, AWGN channel OFDM system simulation)

TSP_matlab_code using acs(Ant Colony Optimization) (TSP_matlab_code using acs(Ant Colony Optimization) )

五维超混沌系统反同步仿真，基于matlab的simulink，实时同步(The anti- synchronization of a five-dimensional hyperchaotic system by matlab)

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)