ypt

时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)

it is based on pv system.it is a hybrid powr system

选取信息基因，这是一个很好的MATLAB算法(Select the information gene, which is a good MATLAB algorithm)

说明：  老外的一本绝版好书，绝版~有钱买不到的东西(Foreigners an out of print books, out of print ~ the things money can not buy)

动量bp算法源程序。网上找来的。希望有用。多谢支持(momentum bp algorithm source. The design of the Internet. Hope useful. Thank you for your support)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

sp3精密星历插值，采用滑动牛顿多项式，可以达到cm级精度，插值结果为速度和位置(Star calendar interpolation)

这里给出另一组对谱线校正的方法，其中包括了9种方法。(Here are the other group on the spectrum correction method, including nine kinds of methods.)

Matlab-Wavelet-Denoise-Compress. The practice of small noise, a very good application

EEG FEATURE EXTRACTION