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先进PID多变两解耦控制的matlab仿真程序源码(Advanced PID decoupling control of the two variable matlab simulation program source)

压缩感知恢复算法，解决l1最小化问题,能够得到线性非定常问题的最稀疏解(CS recovery algrithm)

使用C语言在matlab中编程解决非线性回归问题(Nonlinear Regression)

自编直方图均衡化程序 (Self histogram equalization program)

GSM信道编码的simulink仿真框图和源代码，GSM信道编码的simulink仿真框图和源代码(GSM channel coding simulation simulink block diagram and source code, GSM channel coding simulation simulink block diagram and source code)

《Home Networking Basis》（《家庭网络基础》）的配套MATLAB源代码。包括了以太网和无线以太网等模型。("Home Networking Basics" ( "family network infrastructure") supporting MA MATLAB source code. Including Ethernet and wireless Ethernet, and other models.)

jcr分区的表，对任何科研工作者都非常重要，列出了杂志所处的档次(jcr partition table for any researchers are very important, the magazine which lists the grade)

This is a matlab file for finferprint recognition

说明：  车牌识别程序,将文件放于matlab目录下work文件夹中运行(License plate recognition program, the files placed in the matlab directory to run under the work folder)

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)