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With this document, is intended to show some manipulation of signal processing techniques regarding continue and discrete signals, odd and even components, and periodic discreet signal, showing the mathematical part and the source code in Matlab on which it’s possible to try it out.

基于Matlab和ActiveX技术的数字信号处理教学演示系统(Matlab based on ActiveX technology and digital signal processing teaching demonstration system)

说明：  matlab couse band very very low, butter, butord, chevychebs etc etcmatlab couse band

关于matlab学习的电子教案，基本的学习资料。(E-learning lesson plans on matlab, basic learning materials.)

matlab基于HMM的语音识别完整代码(需要修改程序里的路径以找到文件)(matlab)

说明：  基于MATLAB，可以方便地产生随机数，均匀分布和高斯分布等 (Based on MATLAB, can easily generate random numbers, uniform distribution and Gaussian distribution)

f the input is a numeric array, it returns a cell array of strings of on or off depending on the logical outcome. Conversely, if the input is a cell array of strings of on or off , then it does the reverse, i.e. returns the logical matrix where on is true and off is false. It is very useful when using set/get on arrays of handle objects or arrays of properties/values. Example: onoff( [0, 1, 0]) gives { off , on , off } onoff({ on , on , off }) gives [1, 1, 0] It also works for mixed cell array inputs, and for other string pairs: yes/no, ok/cancel, open/closed

本程序用matlab编写，采用MAPSO来求解IEEE标准40节点电力负荷分配问题(The program written using matlab MAPSO to solve the 40-node IEEE standard power load distribution)

This function calculates the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT (equal power allocation) and perfect CSIT (waterfilling power allocation). In both cases perfect CSIR is assumed. The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated.

用于检测微弱信号的Duffing系统，这是我的毕业设计一部分，因为我做的时候也曾求取过很多资料，但是并没有找到，因此在我完成之后，上传这个代码，希望这个能帮助别人。 里面还有后续做的GUI界面实现的Duffing振子检测功能，可检测信号幅值和频率。(The Duffing system for detecting weak signals, this is part of my graduation project, because I also asked for a lot of information when I did it, but it was not found, so after I finished, upload this code, I hope this can help others.)