SSPE

ldpc bit flipping decoding in matlab

NRZ encoder for matlab

说明：  SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be - correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable - useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.(SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow. This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.)

计算电磁学，英文版，里面有些小程序，可以用来练练手，也是很基础的知识。(Computational electromagnetics, in English, which some small program that can be used to practice your hand, is a very basic knowledge.)

FWM in fiber communication system

mesh power flow& math

自己实现的rgb2hsv和hsv2rgb函数(the funtions of rgb2hsv and hsv2rgb written by myself)

对分水岭分割方法的多种标记方法，包括三个matlab文件。(watershed segmentation method for the multiple markers, including three Matlab document.)

this code is used to implement FMT Filter bank trancsiver in matlab. the filter coefficient can be changed also the number of subcarriers.

Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。 load clouds [test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[]) train_patterns 每列为一样本 train_targets 每列为一样本目标 100 :Number Of Iterations Stumps: Weak Learner Type Learner s parameters :[] adaboost +stumps testRightR = 0.7522(Adaboost is an iterative algorithm)