MATLABGUIrar

说明：  压缩传感理论仿真的一个实际例子，稀疏信号的恢复。(Compressed sensing theory of simulation of a practical example of sparse signal recovery.)

自适应Huffman编码基于MATLAB的实现(Adaptive Huffman Coding MATLAB-based implementation)

用matlab实现，求最短路径的弗洛伊德算法和Dijkstra算法，很有用(Floyd-Warshall algorithm Dijkstra s 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)

Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters are converted to upper case. The original message is converted to number array according to the ASCII table and minus 64. We partition whole array into blocks of 8 numbers. The last block may be added several zeros. Then multiply each block by the an 8x8 matrix A which is invertible in Z27 to get cipher data. The decryption is the same process except to use its inverse matrix B. For good visual reading, we convert all non-letter characters to under score for the decryption.

this source code is very well

电力电子控制使用的6脉波驱动产生仿真模型(power sixpulse)

RS编码用MATLAB实现，非常有实用的程序(RS coding using MATLAB to achieve a very useful procedure)

粒子滤波 PF( Particle Filtering) 是在 贝叶斯滤波框架下基于 Monte Carlo 采样的统计滤波方法，可解 决非线性、非高斯的滤波问题，声源跟踪就属于这类问题。近年 来，基于粒子滤波的声源跟踪算法已成为研究的热点。 (he real acoustic data recorded in a typi- cal meeting room using a small-scale microphone array is used for tracking experiments． Results show that the proposed algorithm can realise effectively the orientation tracking of the randomly walking speaker，in which，the root mean square error of tracking in direction of the hori- zontal angle and the elevation are all less than 5°． )

File is from the wavelet toolboxs, decomposes an image with wavelet transform.