Threshold_GUI

景振毅《MATLAB7.0实用宝典》光盘源代码。MATLAB是目前最流行的应用于科学和工程计算的高性能软件之一。《MATLAB7.0实用宝典》针对MATLAB7.0版本，由浅入深、循序渐进地讲述如何使用MATLAB的各项常用功能。(Jing Zhen Yi " MATLAB7.0 Utility Collection" CD-ROM source code. MATLAB is the most popular used in scientific and engineering calculations, one of high-performance software. " MATLAB7.0 Practical Collection" against MATLAB7.0 version, Deep step by step on how to use the popular MATLAB features.)

matlab命令大全电子书，matlab入门必备(Matlab order Daquan e-books, Matlab entry required)

L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一，改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用，如可以方便的用于有约束与无约束最优化的求解。本文件里面有源码和测试码以及对该方法的具体介绍PDF文件。欢迎下载。(L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate approximation convergence value.This paper briefly describes the operating principle of change method and concrete application, such as easy to solve constrained and unconstrained optimization.This document there are source code and test code as well as to the PDF file the detailed introduction of the method.Welcome to download.)

function [r_path, r_cost] = dijkstra(pathS, pathE, transmat) The Dijkstra s algorithm, Implemented by Yi Wang, 2005 This version support detecting _cyclic-paths_

说明：  支持向量增长聚类方法,?С窒蛄吭龀ぞ劾喾椒??С窒蛄吭龀ぞ劾喾椒?支持向量增长聚类方法(support vector growth clustering, su pport vector cluster growth, increased clustering support vector methods, support vector cluster growth, increased clustering support vector method)

Operations research: an introduction By: Hamdy A. Taha

本程序为GS算法，基于MATLAB编写，用于恢复光场中的相位信息，在信息光学，生物显微领域有广泛的应用(This procedure for the GS algorithm, based on MATLAB, is used to restore the phase information of the light field, in information optics, biological microscope fields have a wide range of application)

说明：  读取文件夹中的音乐波形，进行FFT分析，显示出其时域波形和频谱波形(Read the music waveform in the folder and analyze it by FFT)

几种语音增强关于mmse算法，维纳滤波，掩蔽增强(err)

PLSR主成分因子确定的软件，输入自变量X和因变量Y即可得到结果(plsr principal component factor determining the software, enter the path to the variable x and the dependent variable y to get results)