ACF

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.)

Matlab - Neural network RBF for function approximation.

引入ECG信号bat等文件，是不可少得的M文件(The introduction of ECG signal bat and other documents is indispensable document obtained M)

说明：  基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。我的导师给我传的。 funesm1,2,3分别为一二三次指数平滑预测程序 fungry为灰色预测程序 funcoef为时间序列预测程序 pudn为广大的编程爱好者提供了一个交流的平台，我在此先谢谢网站的工作人员，我也会努力编出好的程序，一起同大家分享。(Based on Gray predicted that the number of exponential smoothing forecasts MATLAB procedures, issues for the prediction of the mathematical modeling, can be said to be an essential procedure. My mentor gave me spread. funesm1, 2,3 were 123 times procedures fungry exponential smoothing forecast procedures funcoef gray prediction for time series forecasting procedures for pudn programming for the majority of fans provided a platform for exchange, I would like to thank the site staff, I will strive for a good program, to share together.)

这是一个基于matlab的一个pca变换，先从去均值处理，在降维，然后一些列变化(This is a based on the matlab a pca transform, first from to mean processing, on dimensional reduction, and then a few changes )

license plate report mat code

1）利用CC++语言实现给定的LFSR； 2）通过不同初始状态生成相应的序列，并观察它们的周期有什么特点； 3）利用生成的序列对文本进行加/解密（按对应位作模2加运算）。 给定的LFSR为：(1) the use of C C++ language given LFSR 2) to generate the corresponding sequences by different initial state, and observe what are the characteristics of their cycle 3) using the generated sequence of text encryption/decryption (press the corresponding bit for modulo-2 addition operation). LFSR given as follows:)

在MATLAB中实现霍夫曼编码，粗略实现编码(Implementation of Hoffman coding in MATLAB)

Semi-supervised learning

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