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说明：  采用matlab 编写的DEA综合评价方法(using Matlab prepared by the DEA comprehensive evaluation method)

BPSK调制解调直接序列扩频系统源代码(白噪声及瑞利衰落误码率比较)(BPSK receiver simulation using Spread Spectrum Techniques )

二进制粒子群算法在matlab中应用，程序简单(Application binary PSO algorithm in matlab simple program)

钢厂电炉轧钢炉管数据建模程序，给出轧钢路的输入输出数据可从得到其三维视图。模型经过某钢厂的实际数据检验。(Electric furnace steel rolling data modeling process, given the rolling road to get input and output data from its three-dimensional view. Model the actual data after inspection of a steel mill.)

在qpsk系统分析中进行蒙特卡洛性能仿真 其中信道信道模型为高斯信道(The montecarlo simulation performance )

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

说明：  对图像进行niblack二值化，用的是niblak算法，是最基本的niblack(Niblack the image binarization, using a niblak algorithm is the most basic niblack)

本程序主要实现WIMAX总CTC编码解码功能，采用MATLAB语言(This procedure achieved total CTC codec WIMAX functionality, using MATLAB language)

Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias (Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias)

tomlinson harashima precoding algorithm implement in matlab in a noisy channel