fangzhen

Series and Prallel Feedbaack

This file is about the lesson for beginnier how want to learn the Fuzzy Logic

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.

巴特沃斯无源滤波器设计 内涵高通带阻带通低通四种类型的设计，其中低通参见本人上传的低通滤波器设计(Butterworth high-pass passive filter design content, low-pass band-stop four types of band-pass design, in which low-pass see my upload low-pass filter design)

electric machines sodelling and simulation using matlab software

现有一个信号：x(n)=1+cos(π*n/4)+ cos(2*π*n/3)设计及各种数字滤波器以达下列目的： 低通滤波器，滤除cos(2*π*n/3) 的成分，即想保留的成分为1+cos(π*n/4) 高通滤波器，滤除1+cos(π*n/4) 的成分，即想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，即想保留的成分为1+cos(2*π*n/3) 1. 用MATLAB命令butterord求除滤波器的阶数,用命令butter设计各滤波器；画出滤波器幅度和相频相应 取各滤波器的系统函数H(z)。 (an existing signal : x (n) = a cos (* n/4) cos (2** n/3) design and digital filter to achieve the following objectives : low-pass filter, filter cos (2** n/3) the ingredients that want to retain an element of a cos (* n/4) high-pass filter, a filter cos (* n/4) components, namely to retain the element of cos (2** n/3) band-pass filter , a filter cos (2** n/3) components, namely to retain the element of cos (* n/4) band stop filter, the filter cos (* n/4) components, namely to retain the ingredients for a cos ( 2** n/3) 1. MATLAB order butterord except for the band Filter, using the order of the filter design butter; paint Filter magnitude and phase frequency of the corresponding filter system function H (z).)

A Matlab function for calculating heart rate and average amplitude from ECG signal or heart pulse. Input: ECG signal or pulse Return: Number of heart beats per minute and Average amplitude

经典matlab算法，好好学习的话，收益很大的 呵呵(perfect matlab materials)

这里有100个MATLAB例子，希望对大家有帮助(There are 100 MATLAB example, we want to help)

基于遗传算法、小波分析和神经网络的混合优化算法！！(A hybrid algorithm of genetic algorithm, based on wavelet analysis and neural network!! )