mx5

This is an archive for face detection in matlab.

原理：乘同余法产生随机数来生成均匀分布、瑞利分布、正态分布，压缩包包括3个分布的Matlab源代码(Principle: multiplicative congruential method to generate random numbers to generate uniformly distributed ，Rayleigh distribution and normal distribution.This package includes three distribution of Matlab source code.)

The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted Pendulum System and designing Control System for it. This report & MATLAB-files collection are developed as a part of practical assignment on Control System Analysis, Design & Development practical problem. The assigned problem of INVERTED PENDULUM is a part of Lab Work of Control System – III Course at the INSTITUTE OF INDUSTRIAL ELECTRONICS ENGINEERING (IIEE), KARACHI, PAKISTAN

matlab量子遗传算法及调试信息 txt文档中的是matlab .m文件源码(the quantum genetic algorithms and some of this test info. the txt doc. contain .m(matlab) doc.)

基于遗传算法的BP神经网络优化算法,Matlab代码。(BP neural network optimization algorithm based on genetic algorithm, Matlab code.)

模糊控制MDL模糊MATLABfuzzypid(MDL fuzzy control fuzzy MATLAB uzzypid)

Matlab to seperate 3 voices

说明：  这是9225的初始化资料，绝对OK,已测试过的，效果非常不错，欢迎大家试用(This is the 9225 initialization information, absolutely OK, have been tested, the effect is very good, welcome trial)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

Block model of a phase locked loop implemented in Simulink. Step 2 of a series of 5 developed models.