kmeans

光子筛孔分布的例程，环数相同，用于光子筛成像时使用(Photon sieve distribution routines same ring number, is used for imaging photon sieve)

Fast fourier transform for signal analysis

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

Audio signal processing by using matlab 使用matlab处理音频信号

this program used to estimat a distribution alpha stable

pattern classification, second edition, 中文版(pattern classification, second edition, chinese version)

计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames(Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames)

本文中介绍了matlabpdetool在求解偏微分方程中的应用，不错的入门资料(This article introduces the matlabpdetool in solving partial differential equations in the application of good introductory information)

Matlab数字信号处理源码（数字信号处理指导书）(Matlab source digital signal processing (digital signal processing instructions))

SharedPreferences demo