cosine

哈工大的matlab讲义,是大学生学习matlab的好书,非常好用,适合初学者(HIT s matlab lectures, the university study books matlab, very easy to use, suitable for beginners)

Reversible Markov Chains and Random Walks on Graphs

Specch Recognition system using MATLAB. It includes Viterbi Forwarding and backtracking Algorithm . First it includes Feature Extraction and then Feature Matching

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

在信道仿真中，对接收信号进行滤波等处理，以便于接收器对信号的接收和处理。(the channel simulation, the received signal is filtered, etc., in order to receive the signal is received and processed.)

VIEW3D GUI for interactive viewing of 3D Volumes in matlab

这个是西安电子科技大学的陈怀琛教授编写的《数字信号处理教程——MATLAB释义与实现》(第2版)程序集(This is the Xi' an University of Electronic Science and Technology, prepared by Professor Chen Huaichen " Digital Signal Processing Course- MATLAB Interpretation and Implementation" (2nd edition) assembly)

Welch法谱估计和参数模型谱估计的MATLAB分析(Welch spectral estimation MATLAB analysis and parameter estimation of the model spectrum)

先进PID控制及其MATLAB仿真（刘金琨）书籍，第一章程序，学习PID算法的可以参考(Advanced PID control and MATLAB simulation (LiuJinKun) books, the first chapter, study of PID algorithm can reference)

matlab画板matlab画板matlab画板matlab画板(this is matlab pant this is matlab pantthis is matlab pant this is matlab pant)