IIRfiltermatlab

瑞丽衰落信道的仿真，包括延迟、多径条件等，仿真可直接调用函数(Ruili fading channel simulation, including delays, multi-path condition, the simulation can directly call functions)

Matlab 例程，供学习参考。包括中科大课件PPT，课后习题，以及课后习题的参考程序。非常适合初学者学习。(Matlab routines for study and reference. Including USTC courseware PPT, Homework, Homework reference program. Very suitable for beginners to learn.)

CDMA Simulation Using MATLAB This program models a simple implementation of CDMA technology. It considers multiple bit data streams sent by any number of senders across a common channel. Each sender uses a unique code word, given by the Walsh set, to encode its data, send it across the channel, and then perfectly reconstruct the data at the receiver. The simulation utilizes these simplifications: 1. The individual data streams share the same bit length. 2. The code words are determined using the Walsh set to create orthogonal code words. 3. The spreading factor M of each code word is identical. 4. All users (data streams and codes) are synchronized in time. 5. Set-up and hold times of real-world systems are ignored. 6. The channel through which the data passes is ideal.

说明：  求解poisson方程的经典有限元程序！(a classical fem program for poisson equation)

压缩文件中提供了matlab时频工具箱中函数详细说明，demo实例。含有较多的应用例子，便于理解。与大家分享。(Compressed file is provided in time-frequency toolbox matlab function in detail, demo examples. The application contains more examples, easy to understand. To share with you.)

doing the operation of windrow hoff process

to calculate the structural index

DC MOTOR SPEED CONTROL mcc

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

说明：  用矩阵实现而微小波变换，解决途中处理中而微信息量过大的问题(Realization with small wave transformation matrix to address the way in which micro-processing problem of information overload)