Partial-least-squares-

利用混沌系统给图像加密，加密方法简单易懂，对初学者很好理解(Image encryption using chaotic systems ，encryption method is simple and easy to understand, good for beginners to understand)

This code is example of image adjustment.

CounterV3.2（非零坊统计 v3.2）(CounterV3.2 (non-zero Square Statistics v3.2))

matlab documentation

Matlab third assignment source codes implementation of some signal algorithms

Using the Serial Port with a MATLAB

Syntetizable source code of VHDL BCH(1023,1013) encoder. This scheme used by DTMB standart and produce ten redundancy bit on 125 cycles because bus width of 8 bits.

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)

ball & beam lead PD matlab m-file

用各种方法求解初值问题微分方程，并分析误差。(Use various methods to solve the initial value problem of differential equation, and the error analysis.)