RBF

Fast Fourier Transform

说明：  圆拟合，通过已知的多组数据，拟合出最小误差的圆(Given a set of measured x,y pairs that a re supposed to reside on a circle, but with some added noise. A circle to these points, i.e. find xc,yc,R, such that (x-xc)^2+(y-yc)^2=R^2)

Victor C.Chen《雷达中的微多普勒效应》的英文书及其书中所述的Matlab程序。(This is Victor C.Chen s book The Micro-Doppler Effect in Radar With DVD with Matlab codes.You have to put the codes on the Matlab folder that you can excute it.)

noise canceller using lms

dbpsk信号的调制解调matlab代码实现的一个例子，调制时差分编码，这样用1bit延迟差分检测的结果，直接就是原码，解调采用1bit差分延迟检测．(DBPSK signal modulation and demodulation matlab code an example of differential modulation encoding, such 1bit delay with the results of differential detection, direct that the original code, demodulation using 1bit delay differential detection.)

DataBurn is an Objective-C example which demonstrates some of the features of DRTracks. The sample illustrates how to create a DRFolder from an existing folder on the source disk and burn it to disc, creating a hybrid ISO9660/Joliet/HFS+ data CD. The sample also uses the DiscRecordingUI framework to present the standard burn setup and progress user interfaces.

在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。(In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to find C a cluster center, each cluster center represents a kind of center. Then the samples are classified to the nearest cluster center with the type. C' s choice is a priori knowledge or experience through the selected. Cluster center is obtained through the iterative algorithm.)

skewnee correction for 2d image ya

Application for pre-processing and feature extraction for leaf recognization, this contains sample leaves and code to save it to database and extract features of each leaf

小波矩的matlab代码，主要用于全局特征提取使用，比较简便(Wavelet Moment matlab code, mainly for global feature extraction using relatively simple)