iris

Its for interpolation, those who are interested in this can contact me for this... For further help youself

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)

Digital Image Enhancement source code with GUI in MATLAB very good explained

有关DFA和MF-DFA的一些代码，只要你能仔细阅读的话相信总有一个适合您(Some code about DFA and MF-DFA, as long as you can read carefully, then I believe there is always a right for you)

杂草识别，使用gui,代码图像都有，对于做识别杂草很有启发。(Weeds recognition, using GUI, code images have, for identifying weed is very enlightening.)

动态规划matlab 程序 增程式电动客车整车能量管理(Dynamic programming matlab program Energy management of Extended range electric bus )

aac compression its not complete, but i make it with step from block diagram

i have written the code for linear classifier for n classes.

a summary of adaptive control

预报误差法参数辨识-松弛的思想，实现了对10个数字音的识别，DSmT证据推理的组合公式计算函数。( Prediction Error Method for Parameter Identification- the idea of relaxation, To achieve the recognition of 10 digital sound, Combination formula DSmT evidence reasoning calculation function.)