gaom

this is for lmi lmi problems

用于图像的边缘检测，提取图像的边缘的matlab gui 程序 。(matlab gui for picture prossce !)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

Zooming no.1 method based on gonzalez book.

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.

Three phase 6-pulse semi controlled rectifier simulation using matlab simulink

粒子滤波算法的matlab代码，目标跟踪轨迹预测(Particle Filter Algorithm Target tracking trajectory prediction)

Contourlet变换提出者Minh.ndo结合论文的Matlab实现源码，可以给从事多尺度图像处理人做一个很好的参考(Contourlet Toolbox (Windows download format also available on MATLAB Central): MATLAB source code that implements the contourlet transform and its utility functions. See paper The contourlet transform: an efficient directional multiresolution image representation.)

详细解释了ibatis的用法和jar包。。。。。。。。。。。。。(A detailed explanation of the use and ibatis jar package. . . . . . . . . . . . .)

PLS GIVE MATLAB CODING