DSP_MATLAB

《MATLAB图像处理实例详解》源代码 第liu章( MATLAB image processing example explanation Source Code Chapter)

三相STATCOM，实现直流电容的稳压控制，采用Ip/Iq控制方法和电流空间和电压空间的PWM方法控制STATCOM(Three-phase STATCOM, DC capacitor voltage regulator control, Ip/Iq control methods and current space and voltage space PWM control STATCOM)

用MATLAB编程产生方波信号序列s[n],产生幅值为6，频率为0.125kHz的方波信号，(Square wave generated by MATLAB programming signal sequence s [n], generating amplitude 6 and frequency square wave signal for the 0.125kHz,)

用普通I/O口模拟I2C通信读写vs1307时钟芯片程序，此程序在MPLAB IDE环境下开发，在PIC16F877单片机上运行通过。(With common I/O port to read and write clock chip vs1307)

taup 变换MATLAB代码 可以自己修改(taup transform MATLAB code can make changes to)

polar angle average for beamforming

基于标准遗传算法的图像分割，运用遗传算法确定阈值。是matlab源码。(Standard genetic algorithm-based image segmentation, the use of genetic algorithms to determine the threshold. Matlab source code.)

This is for the programming in matlab to analyze using finite element method. The finite element method can be applied to problems in various fields of science and engineering.

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

MATLAB整流器仿真，采用三电平结构，实现单位功率因数输入。(MATLAB rectifier simulation, using a three-level structure to achieve unity power factor input.)