123

基于RLS 的麦克风阵列自适应语音降噪 算法及matlab 实现(The method abstracting the desired signal from strong background noise through RLS.)

CLAHE的matlab实现算法，经过测试可用。(CLAHE the matlab algorithm, tested available.)

基于波束空间的MUSIC多重信号分类算法源程序(MUSIC algorithms based on beam forming)

DYNAMIC SIMULATION OF ELECTRIC MACHINERY by Chee-Mun Ong, published by Prentice-Hall

simulation matlab (la localisation par GPS)

File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchronous change, the second-order particle swarm optimization, second-order oscillating particle swarm algorithm, chaotic particle swarm optimization, hybrid particle swarm optimization, hybrid particle swarm optimization, simulated annealing algorithm

This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m-- forward curvelet transform afdct_usfft.m-- adjoint curvelet transform ifdct_usfft.m-- inverse curvelet transform fdct_usfft_param.m-- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m-- display the shape of a curvelet fdct_usfft_demo_recon.m-- partial reconstruction using curvelet fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m-- image denoising using curvelet)

对于我们电气专业的仿真而言，我们主要用到的可能是Simulink工具箱，SimPowerSystem工具箱。当然也有可能涉及到SimExtra工具箱。但主要是实用前两者来进行电力系统，电力电子和电机等方面的仿真。因此在进行这些仿真的时候，有一些基本的原则：(For our simulation of electrical expertise, we may be used in Simulink main toolbox, SimPowerSystem toolbox. Of course, there may relate to SimExtra toolbox. But mostly for the first two practical power systems, power electronics and motor and other aspects of emulation. Therefore, when conducting these simulations, there are some basic principles:)

Qualnet 4.0 installation guide

opensees 调用 matlab 进行参数优化(opensees matlab optimize parameter)