music

数值计算方法与分析，典型的算法介绍，一本知识点比较全面的书(Numerical Algorithms for the typical method of introduction, a book more comprehensive knowledge points)

matlab + 最短路径 改进的蚁群算法(matlab+ improved ant colony algorithm for the shortest path)

this function plots a cube

有关继承函数,初学者可以作为非常不错的例子，了解语法结构(inherit )

2D-LAD demensionality reduction matlab

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)

说明：  基于粒子群算法的配网重构策略，主要解决系统网损，电压偏移量，三相不平衡。(distributed neetwork)

DPSK调制与解调，以及误码率分析。图形形象，易懂，是个很不错的源代码(DPSK modulation and demodulation, and bit error rate analysis. Graphic image, easy to understand, is a very good source code)

The MatClass IV Toolbox for MatLab has been developed to support experiments on feature based classification problems. (The MatClass IV Toolbox for MatLab has been developed to support experimentson feature based classification problems.)

Program GUI Matlab sederhana dengan keunggulan sistem grayscale