SCM

分形编码的解码程序，用matlab编写。适合初学者模仿(Maple Leaf iterative produce, prepared with matlab. Suitable for beginners to imitate)

遺傳算法應用於MATLAB 遺傳算法應用於MATLAB(Genetic algorithm is applied to MATLAB MATLAB genetic algorithm is applied)

对示波器或其他设备在实验中接收并储存的离散信号进行绘图，行程信号曲线图(Oscilloscope or other device is received and stored in the experiment drawing discrete signals, the signal graph stroke)

matlab工具中的函数指令集 列表免费提供下载(matlab function instruction set)

基于MATLAB开放的模拟退火算法实现程序，对于初学随机算法的人很有帮助！！(MATLAB-based simulated annealing algorithm . For learning randomized algorithms were very helpful! !)

顺序聚类算法-BSAS，并在MATLAB上实现。在输入矩阵和参数后，对其进行顺序聚类，得到聚类类别标签和聚类中心(Sequential clustering algorithm-BSAS, and implemented on MATLAB. Parameters in the input matrix and its sequential clustering, and cluster by cluster category labels center)

Joannopoulos "Photonic crystals. Molding the flow of light" - one of the best books on photonic crystals(Joannopoulos "Photonic crystals. Molding the flow of light"- one of the best books on photonic crystals)

This demonstrates the use of subtractive clustering to model traffic patterns in an area based on the area s demographics.

使用自相关方法去除信号中的高斯白噪声，提取出目标信号，对做信号处理的十分实用(Using the autocorrelation method to remove Gaussian white noise in the signal, extract the target signal, very practical to do signal processing)

Structured Edge Detection Toolbox( ################################################################### # # # Structured Edge Detection Toolbox V3.0 # # Piotr Dollar (pdollar-at-microsoft.com) # # # ################################################################### 1. Introduction. Very fast edge detector (up to 60 fps depending on parameter settings) that achieves excellent accuracy. Can serve as input to any vision algorithm requiring high quality edge maps. Toolbox also includes the Edge Boxes object proposal generation method and fast superpixel code. If you use the Structured Edge Detection Toolbox, we appreciate it if you cite an appropriate subset of the following papers: @inproceedings{DollarICCV13edges, author = {Piotr Doll ar and C. Lawrence Zitnick}, title = {Structured Forests for Fast Edge Detecti)