hundun

simulink应用实例，基于MATLAB6.5系列(Simulink application examples, based on a series of MATLAB6.5)

BP神经网络对一组数据的预测分析。。。。。(BP neural network prediction of a set of data analysis)

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)

[LabVIEW]实现CRC校验，有些通讯协议需要用到CRC校验，所以很方便。([LabVIEW] implement the CRC, some protocols need to use the CRC, so it is convenient.)

power rectifire model for symetrical systems

图像去雾算法Matlab代码，可以实现图像去雾处理(Haze remove code)

unit commitment using matlab , It based on Optimiztion methodes: Genetic Algorithms and Dynamic Program

有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。(There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.)

ofdm仿真 其中包括qpsk调制解调，加高斯，串并转换等；最后有误码率曲线的输出(ofdm simulation including qpsk modulation and demodulation, plus Gaussian, string and conversion Finally there is an output bit error rate curve)

即奇异谱分析，广泛应用于信号识别与预测。(SSA, that singular spectrum analysis, widely used in signal recognition and prediction.)