Matlab-Programs-part5

很好的matlab 進階教學電子書,教導如何寫作matlab程式, 此為pdf檔,分為29個章節(Matlab advanced teaching good books to teach how to write matlab code, this is the pdf file, divided into 29 chapters)

Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information. This Matlab Code simulate the using ICA for Multi User Detection (MUD) in CDMA system. We demo the CDMA system with 30 Users, and use ICA seperate the signal of each user at Base Transmit Station (BTS) with the only 30 Users signal.

SFSDP is a Matlab package for solving sensor network localization problems. The package contains four functions, SFSDP.m, SFSDPplus.m, generateProblem.m, test SFSDP.m, and some numerical examples.

用matlab编程求解无约束优化问题、线性规划问题即在一组线性不等式或等式组的约束条件下求某个线性函数的最值问题(Matlab programming for solving unconstrained optimization problems, linear programming problems that most value problem for a linear function under the constraints of a set of linear inequalities or equations group)

分数低阶循环谱程序，用于计算循环平稳循环的分数低阶循环谱(Fractional lower order cyclic spectrum program for calculating the fractional lower order cyclic spectrum of the cycle.)

某家电企业在全国二线城市的年销售量Y(单位：万台)与该城市人口数X1(单位:万人)以及该市人均月收入X2(单位:元)之间的关系，在某年对15个城市作了调查，得上述各量的观测值（见数据表data1.txt）(A household electrical appliance enterprises in the country in sales of second-tier cities, Y (unit: million units) and the urban population, the number of X1 (unit: million) and the city' s per capita monthly income X2 (unit: yuan) between, in a particular year made a survey of 15 cities, was the amount of the above observations (see data sheet data1.txt))

权值矩阵随机生成但是谱半径固定，多维输入输出，噪声随机添加的卡尔曼滤波(Weight matrix randomly generated, but the spectral radius fixed, multi-dimensional input and output, adding random noise Kalman Filter)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

Matla准直透镜建立，在特定的环境下进行准直透镜的设计使用。(Establish the collimator lens by Matlab )

此程序为凸优化算法，采用了最新的凸优化工具箱CVX(This program is a convex optimization algorithm, using the latest CVX convex optimization toolbox)