DataTxSim3x_2

This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and
1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.

Matlab GUI 图形界面编程设计,界面规划设计(Matlab GUI programming graphical interface design, interface design planning)

Roberts edge detection algorithm

Matlab code for Chaining Pursuit

army ant matlab code for solving dispatch problem

program for convolutional coding and decoding(with symbol,tone interleaving and cyclic shift)

AC-DC Converter notes

matlab解微分方程的方法，从常微分开始，比较详细(matlab solutions of differential equations)

基于自适应滤波的语音增强和噪声消除.PDF(Adaptive filtering based voice enhancement and noise cancellation. PDF)

说明：  针对EMG（肌电信号）的频率范围，设计一个带通+陷波 滤波器-For EMG (EMG) frequency range, the design of a band-pass+ Notch filter