MATLABPdspPusefulPold

说明：  带有测试函数的PSO算法源代码，用matlab开发(Test function with the source code of the PSO algorithm, developed using matlab)

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)

分别用非参数化谱估计中的直接法，间接法和加窗法对离散随机过程的已零均值化的N个数据样本估计了离散信号的谱密度。(Were non-parametric spectral estimation of the direct method, indirect method and windowing method, discrete stochastic process has zero mean the data of the N-sample estimates of the spectral density of discrete signals.)

研究生的论文，关于MIMO-OFDM系统中信道容量分析(Graduate thesis, analysis of MIMO-OFDM channel capacity)

图像的编解码程序，可以直接运行，并含有PSNR的对比(The encoding and decoding files which can run without modify, and we have comparison of PSNR)

杜达的《模式分类》第二版配套的matlab代码，供做该方面研究的同学学习！(the matlab code of 《 pattern classification》)

code c manage student

维格纳-威尔分布实用程序，仅供参考，用于学习交流(Wigner-Will Distribution)

FIND ONE PIXEL VAUE IN WHOLE IMAGE BY RAJESH

Multiple antenna’s at the receiver (aka receive diversity) improves the bit error rate (BER) performance. In this post, let us try to understand the BER improvement with receive diversity.