2D Gauss points distribution within each Q4 element

kalman滤波程序，非常适合研究该领域的朋友，欢迎共享(kalman filtering procedures, is very suitable for research in this field, welcome to share the)

Please read THIS DOCUMENTE

code of mopso in matlab

These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove structure at shorter timescales. This can be useful e.g. for making speech unintelligible. Routines are also included to shuffle Gammatone subbands independently, for further scrambling.

kriging响应面模型，该程序可以进行函数的拟合，精度很高 (kriging model)

PIECEWISE_EVAL: evaluates a piecewise function of x usage: y = PIECEWISE_EVAL(x,breakpoints,funs) arguments (input) x - vector or array of points to evaluate though the function breakpoints - list of n breakpoints, -inf and +inf are implicitly(PIECEWISE_EVAL : evaluates a piecewise function of x usage : PIECEWISE_EVAL y = (x, breakpoints, funs) arguments (input) x-vector or array of po ints to evaluate the function though breakpoin ts-list of n breakpoints.- inf and inf are implicitly)

好用的随机森林回归（RFR），也可用与分类。基于以编译的mex84，可实现bias-correction。回归预测精度较高(applicable random forrest regression，can also be used for classification。Regress with bias-correction 。can achieve high accuracy)

最大似然（ML）准则和最大后验概率（MAP）准则，是本科毕设的题目，计算互信息非常有用的一组程序,GSM中GMSK调制信号的产生，进行波形数据分析,Gabor小波变换与PCA的人脸识别代码。

这是一个关于GP-ADF和GP-RTSS的工具箱，主要基于“Robust Filtering and Smoothing with Gaussian Processes这篇文章 This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen: "Robust Filtering and Smoothing with Gaussian Processes" in IEEE Transactions on Automatic Control (2012) The software package also contains implementations of the following filters/smoothers: - GP-ADF/GP-RTSS - Gibbs-filter/Gibbs-RTSS [Deisenroth and Ohlsson, ACC 2011] - EKF/EKS - UKF/URTSS - CKF/CKS We provide a demo script: demo_gprtss.m The code requires MatlabR2007a or newer. (C) Copyright 2012 by Marc Deisenroth   Permission is granted for anyone to copy, use, or modify this software and accompanying documents for any uncommercial purposes

数据融合，能实现多传感器数据融合，09年研究生数学建模C题程序(Data fusion.It can accomplish data fusion of difference datas from differerent sensor.)