ppt

hi i have a huge collection are you interested

the program consists of- 1 GUI development in Matlab, 2 Convolution of analog signal 3 Correlation of analog signal 4 DFT calculation 5 Convolution of infinite signal using overlap method

压缩感知 重构算法集合 包含：CoSaMP,GBP,IHT,IRLS,MP,OMP,SP(Reconstruction algorithms for sparse Representation of Compressed Sensing)

implementation of PDS filters

数值分析中几个基础的matlab程序，包括选主元的高斯消去，矩阵的LU分解以及Jacobi迭代(Numerical analysis of several matlab-based procedures, including the election of the principal Gaussian elimination, LU decomposition of matrices and Jacobi iteration)

时变参数的TGM（1，1）模型MATLAB的实现(Time-varying parameters of the TGM (1,1) model for the realization of MATLAB)

实现对一个信号源的doa估计，非常有用，对初学者很用帮助(Achieve a signal source doa estimation, very useful)

一个关于MDP的经典例子，关于赛车问题的。(an examples about MDP)

利用幂法反幂法等进行程序运算,可以获得各种适用结果.(The use of anti-power-law power-law to carry out procedures such as computing, access to a variety of application of the results.)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.