nn

一种基于神经网络模型的matlab实现程序(Based on neural network model matlab implementation procedures)

OFDM技术及其MATLAB模拟，很好的资料哦，可以快速掌握matlab仿真(the study)

matlab环境下计算MFCC参数（mel倒谱参数），lpcc参数（线性预测倒谱）和pitch（基因）(calculate mfcc lpcc pitch )

matpower 中文说明书，对于学习MATLAB编写潮流程序和最优潮流的同学非常有用(matpower Chinese Manual, prepared for the trend of learning MATLAB and Optimal Power Flow program is very useful for students)

维纳滤波器是基于最小平方的最优滤波器，有广泛的使用，用于改变信号，提高分辨率(Wiener filter is based on the least squares optimal filter, widely used for the signal changes to improve the resolution)

基于BP的l1范数逼近法~~~~~~~~~~~~~(Approximation method based on BP s l1 norm)

OFDM基于循环前缀的最大似然同步算法，通俗易懂，适合初学者(ML algorithm)

super resolution matlab

Code source of Model AR+Burg spectrum for detect inter scatterer spacing used Ultrasound of liver

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)