chuli-of-mat

End point detection" I implemented an algorithm for detecting start and end point of the word sequence in speech. In this way the Rabiner method, used to perform this work

matlab code for red ball tracker by a robot using image processing.

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)

说明：  压缩感知DOA算法，利用1范数方法进行优化重构，进行方位角估计(Compressed Sensing DOA algorithm, using 1-norm method to optimize reconstruction and azimuth estimation)

卡尔曼滤波器和维纳滤波器的实现 教育资料 学术研究(Kalman filter and Wiener filter to achieve educational materials research)

灵巧噪声的间歇采样转发干扰的matlab实现(Intermittent sampling smart repeater jamming noise matlab implementation)

用于特征降维，特征融合，相关分析等,使用高阶累积量对MPSK信号进行调制识别，关于神经网络控制，真的是一个好程序，借鉴了主成分分析算法（PCA），插值与拟合，解方程，数据分析。( For feature reduction, feature fusion, correlation analysis, Using high-order cumulants of MPSK signal modulation recognition, On neural network control, Really is a good program, It draws on principal component analysis algorithm (PCA), Interpolation and fitting, solution of equations, data analysis.)

实现线性动态系统模型的Arma模型，具有处理动态纹理建模的功能。(dynamic textures are seqences of images showing spatial regularity,temporal continuity.)

Negative Selection Agorithm 1. we have a signal which we ll monitor 2. we produce lymphocytes - length lyphocyte as a signal, we take random numbers 3. NSA... we check that lymphocyte is different from signal, if not we random another 4. now we monitor signal, if any value of signal is the same or nearest to lyphocyte - we have anomaly. (Negative Selection Agorithm 1. we have a signal which we ll monitor 2. we produce lymphocytes- length lyphocyte as a signal, we take random numbers 3. NSA... we check that lymphocyte is different from signal, if not we random another 4. now we monitor signal, if any value of signal is the same or nearest to lyphocyte- we have anomaly. )

统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。(Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction.)