rectanglePulse

基于contourlet变换的隐性马尔可夫模型树程序包，是由Duncan Po等人编写，其中含有部分C程序(on Contourlet Transform hidden Markov model tree package, Po is from Duncan and others prepared, which contains some C Program)

文件夹里是最速下降法和牛顿法，这两种方法在最优化中得到了广泛的应用，希望对学习最优化的同学有帮助。(Folder is the steepest descent method and Newton method, these two methods in the optimization has been widely used, I hope to learn to optimize students help.)

说明：  用pso对bp神经网络进行优化，对pid控制器进行优化设计(Using PSO to optimize BP neural network and PID controller)

基于 BPSK QPSK 16QAM 各种调制方式的matlab仿真代码(Based on a variety of BPSK QPSK 16QAM modulation matlab simulation code)

Robust extreme learning machine Robust extreme learning machine

exresice of marcel sidi

已知三点，求过三点的圆的半径，和圆心坐标。若三点在同一直线上或有两点重叠则返回覆盖三点的最小圆半径 开发环境 Matlab(failed to translate)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

说明：  二次规划问题和MATLAB函数quadprog的使用小结(Summary of quadratic programming problem and the use of Matlab function quadprog)

this is matlab file for permutation flowshop problem with cross entropy