mfcc

用MATLAB建立COST模型，并展示其特性(COST model using MATLAB to establish and to demonstrate its characteristics)

“袋子模型”特征描述演示，有注释，以及人脸库(bag of the words demo)

VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Models (Adapted from Machine Learning Toolbox Version 1.0 01-Apr-96 Copyright (c) by Zoubin Ghahramani, University of Toronto) The software uses some NETLAB routines (see http://neural-server.aston.ac.uk/netlab/index.html) so you ll need to have NETLAB on your search path See the file VERSION for what s new in this version.

说明：  从方程组中消去一些未知函数及其各阶导数，得到只含有一个未知函数的高阶常系数线性微分方程(Eliminated from the equations of some unknown function and its first derivative, the only unknown function contains a higher-order linear differential equations with constant coefficients)

awk develop guide. 中文版。 一本书的第9章。(awk develop guide. Chinese version. A book's first chapter 9.)

图论工具箱，包括图论的相关操作，求最短路径，搜索，匹配，最大流，核数等(matlab graph toolbox)

异步电机仿真模型，里面包含了异步电机各类simulink仿真模型及SPWM控制算法(Induction motor simulation model, and SVPWM control algorithm)

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

this method makes LPC coefficients wiouth LPC function

Reweighted Lp algorithm