Calculation

该压缩包里有 MATLAB的许多源码，包括插值拟合。绘图等(MATLAB)

时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)

MFCC algorithm for calculating mel frequenc cepstral coefficients.

Equalization and multi-user detection

particle filter in matlab for SMC sequential Monte Carlo

线性调频信号 雷达发射接收 匹配滤波 等等，一些基本的代码(Linear frequency modulated radar signal transmit receive matched filtering and so on, some of the basic code )

一个关于降维方法的matlab工具包，包含25种常用降维技术的源码(A matlab toolkit on dimensionality reduction method，containing 25 commonly used source dimension reduction techniques)

该程序为：持续法、基于最小二乘的线性回归、时间序列以及灰色理论等预测方法对风电功率进行超短期预测(Ultra- short- term prediction of wind power)

MATLAB，即“矩阵实验室”，它是以矩阵为基本运算单元。从最基本的运算单元出发，介绍MATLAB的命令及其用法。(MATLAB, "Matrix lab," It was based on the matrix of the basic computing unit. Operational from the most basic unit is introduced, and MATLAB orders its use.)

说明：   用最速下降法求最优化解 输入：f为函数名 grad为梯度函数 x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值 dist0为初始步长 MaxIter为最大迭代次数 输出: xo为取最小值的点 fo为最小的函数值 f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))