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Multiple Discriminant ysis

短时相关器，利用噪声和信号相关性的不同，来检测瞬态信号。(Short-time correlator, the use of noise and signal correlation of different, to detect transient signals.)

function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trainParam.goal=0.001 net.trainParam.show=50 net=train(net,p,t) r=sim(net,p) plot(p,t,p,r, * ) y=sim(net,[1.2])

calculatePXTheta---Calculate the probability of each pixel being its color conditioned on all of the clusters that were found at the previous (coarser) iteration. (calculatePXTheta-- Calculate the proba bility of each pixel being its color conditione d on all of the clusters that were found at the pre vious (coarser) iteration.)

2d vector field visualization in matlab

matlab绘制图形完成后，在句柄窗口实现局部放大，通过鼠标键盘的操作来选择放大区域(matlab graphics rendering is completed, the handle of the window to achieve local amplification, through the operation of mouse and keyboard to select the magnified area)

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.

matlab程序例题,相当不错,绝对的经典,可以下下来看看,大家相互交流交流(Example matlab program, pretty good, definitely a classic, you can look down under, we exchange the exchange of)

图像分析 边缘检测 微分算子 Log算子 Canny 算子 四叉树分解 四叉树分解 四叉树 MATLAB 函数 (Image analysis-differential operator edge detection operator Canny operator Log quadtree decomposition quadtree decomposition quadtree MATLAB Functions)

a technique for filtering signals. it is a m.file