ompsbox1

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.

数字水印在linux下面运行的代码，内有详细的注释说名(a watermarking program which can run under Linux. Attached with clear instructions.)

Quickest detection by vicent poor

说明：  金庸代表作，非常的吸引人，情节生动富有煽动力(good)

晶体光滤波器的设计。用matlab完成，根据给定的频率响应，设计出一个晶体偏振干涉光滤波器的结构参数，即晶体波片和偏振片的通光方向与参考方向x的夹角，并绘制出频谱图。(crystal optical filter design. Using Matlab completed, according to the frequency response. design a crystal polarization optical interference filter parameters, that is crystal wave plate and polarizer direction of the optical links with the reference direction angle x, and the mapping of the spectrum plan.)

本上传资料为maatlab教程，可通过此教程学习matlab，涉及面广。(The upload information to maatlab tutorials, available through this tutorial to learn matlab, involving a wide range.)

很好的一篇英文文献，讲述水下声信道高速通信方法，仅供参考(A very good one in English literature, about the underwater acoustic channel high-speed communication methods, for reference only)

基于MATLAB小波消噪，有很大作用，一代二代三代(MATLAB Wavelet-based de-noising, there is a great role in generation of the second generation of three generations)

amplitude modulation system using simulink matlab

这个matlab程序实现了Edge Linking and Line Segment Fitting，解压后直接运行demo.m就可以了 ( edgelink.m edge linking function that forms lists of connected edge points from a binary edge image. (Needs findendsjunctions and cleanedgelist below). drawedgelist.m plots out a set of edge lists generated by edgelink or lineseg. edgelist2image.m transfers edgelist data back into a 2D image array. lineseg.m forms straight line segments fitted with a specified tolerance to the lists of connected edge points. maxlinedev.m is also used by lineseg.m to calculate deviations of the edge lists from the fitted segments. findendsjunctions.m finds line junctions and endings in a line/edge image. cleanedgelist.m cleans up a set of edge lists generated by edgelink or lineseg so that isolated edges and spurs that are shorter than a minimum length are removed.)