SFEtrinomp

Calculate the NPCR between images

k-mean algorithme computation

eeglab11_0_0_0b最新版eeglab，界面更清晰，功能更全面。 这是一款可以处理采集到的脑电数据以及ERP数据的软件，富含各种数据处理方法ICA，频谱分析等。(Latest version eeglab, the interface is clearer, more comprehensive.This plugin can process the acquired EEG data and ERP data, a variety of data-rich approach the ICA and spectral analysis.)

混沌吸引子，有logistic,有lonez等(Chaotic attractor, there are logistic, etc. have lonez)

pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析(the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis )

该书详细介绍了Boost库的数十种子库，是目前为止我找到的最详细的Boost库中文书籍(The book details the Boost libraries dozens seed bank, is by far the most detailed I ve found Boost library books Chinese)

信号的频谱分析函数，输入复信号，fft的长度和Fs，可以直接输出信号频谱图。(Signal spectrum analysis function, the input complex signal, fft length and Fs, can be directly output signal spectrum.)

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)

About simulation of turbo encoder. Using matlab code

Plot the voltage regulation based on real power