polymal

说明：  出一种新 的SVPWM 算法。采用SPWM 中调制波与载波相比较的规则采样思路，通过在静止坐标系下直接 计算每个参考电压矢量所对应的三相调制波的函数值，进而得到每相电压在一个PWM 周期中的占空比。(A new SVPWM algorithm. SPWM modulation used in the carrier wave, compared with the rules of sampling ideas, through the static coordinate system directly calculated for each reference voltage corresponding to the three-phase vector modulation wave function, which has been in a phase voltage of each PWM cycle accounting air ratio.)

说明：  粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。(PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iterative optimization tools. This document provides basic particle swarm algorithm, with a compression factor of the particle swarm algorithm, particle swarm optimization order, second order oscillating particle swarm algorithm, the weight particle swarm algorithm, chaotic particle swarm algorithm, based on hybrid particle swarm algorithm, based on Simulated annealing particle swarm optimization MATLAB source code.)

说明：  本程序使用视频和图像处理模块库来找到一个视频流中对象的边缘。(The program uses video and image processing module library to find a video stream edge of the object.)

implement opticalflow

Time-Frequency Domain bss

稀疏分解工具包，采用OMP算法，可用于稀疏字典的构造，压缩感知等领域(Sparse decomposition tool kit, using OMP algorithm, can be used for the construction of sparse dictionary, compressed sensing and other areas)

用Matlab实现人脸图像分割的程序，可以使用(Implementation of a Face with Matlab segmentation procedure, you can use)

The early detection of arrhythmia is very important for the cardiac patients. This is done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different types of arrhythmias. In this paper, we present three different algorithms of features extraction: Fourier transform (FFT), Autoregressive modeling (AR), and Principal Component Analysis (PCA). The used classifier will be Artificial Neural Networks (ANN). We observed that the system that depends on the PCA features give the highest accuracy. The proposed techniques deal with the whole 3 second intervals of the training and testing data. We reached the accuracy of 92.7083 compared to 84.4 for the reference that work on a similar data.

Transmit 2 signals via DSB-SC AM Fs= 44.1 KHz , fft fftshift

frequency modulated example signal