MATLABfuntion

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 )

说明：  一个可以根据标定点来对摄像机进行内外参数进行计算的程序(According to a standard fixed-point to cameras inside and outside the parameters of the calculation procedure)

说明：  介绍了数字滤波器的种类和设计方法,在MATLAB环境下对满足有源滤波器性能要求 的低通数字式滤波器进行了实例设计,并分析了其滤波特性,最后结合有源滤波器中所使用的DSP 控制器,完成了该低通数字滤波器的实现。 (Describes the type and design of digital filter method, under the MATLAB environment to meet the performance requirements of active filter low-pass digital filter design example was carried out, and analyzes its filtering properties, the final combination in the active filter DSP controller is used to complete the low-pass digital filter implementation.)

matlab电子教案，适合于初学者，包括操作基础，绘图(Matlab electronic lesson plans, suitable for beginners, including operating basis, mapping, etc.)

基于MATLAB的信号表示及运算，实现信号的反转、平移、展缩、相加和相乘。(MATLAB-based signal representation and computation, to achieve signal inversion, translation, exhibition shrinking, adding and multiplying.)

lens matlab 二次光学设计中的透镜设计，根据非成像光学原理，利用matlab计算生成点坐标,导入TP(lens matlab)

niching GA~~~~~~~~~~~~~~~~~~

assingment problem With this package, I provide some MATLAB-functions regarding the rectangular assignment problem. This problem appears for example in tracking applications, where one has M existing tracks and N new measurements. For each possible assignment, a cost or distance is computed. All cost values form a matrix, where the row index corresponds to the tracks and the column index corresponds to the measurements. The provided functions return an optimal or suboptimal assignment - in the sense of minimum overall costs - for the given matrix.

A good Appendix from Wiley Pub Group for understanding Genetic Algorithm you can download from Wiley Web.

本上传资料为simulink学习教程，通过此教程可以了解一些基本操作。(The upload data to simulink tutorials through this tutorial to learn some of the basic operations.)