短时自相关函数与短时幅度函数计算的Matlab实现

Apply Ben-Israel and Iyigun s Probabilistic D-Clustering (PDC) algorithm for clustering. This implementation is based on: Adi Ben-Israel and Cem Iyigun, "Probabilistic D-Clustering", Journal of Classification 25:5-26 (2008)

battery modelling in matlab enivornment

30节点的潮流计算程序，输电网的，这个可以运行(Flow calculation nodes 30, transmission network, this can run)

说明：  压缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)，稀疏采样(Sparse sampling)，压缩传感 [1] 。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号 [1] 。压缩感知理论一经提出，就引起学术界和工业界的广泛关注。(Compressed sensing (Compressed sensing), also known as compression sampling (Compressive from), Sparse sampling (Sparse from), Compressed sensing [1].As a new sampling theory, it develops the sparse characteristics of signals, obtains the discrete samples of signals with random sampling under the condition that the sampling rate is much lower than Nyquist sampling, and then perfectly reconstructs the signals through the nonlinear reconstruction algorithm [1].Once the theory of compressed sensing was put forward, it attracted extensive attention from academia and industry.)

该算法是bimoment非线性归一化的改进，可以对最终的识别率有所提高，而且该算法能够自动的调整汉字的中心，并有很强的抗干扰能力(The algorithm is non-linear normalized bimoment improvements can eventually improve the identification rate, and the algorithm can automatically adjust the center of Chinese characters and has a strong anti-interference ability)

计算机内存分配，首次适应策略、最佳适应策略、循环适应策略、最坏适应策略。matlab代码，略简单(Storage Allocation First_fit/Best_fit/Next_fit/Worst_fit)

Algo3-5.c C program for implementing Algorithm 3.5 Algorithm translated to C by: Dr. Norman Fahrer IBM and Macintosh verification by: Daniel Mathews NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995 To accompany the text: NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992 Prentice Hall, Englewood Cliffs, New Jersey, 07632, U.S.A. Prentice Hall, Inc. USA, Canada, Mexico ISBN 0-13-624990-6 Prentice Hall, International Editions: ISBN 0-13-625047-5 This free software is compliments of the author. E-mail address: in "mathews@fullerton.edu" Algorithm 3.5 (Gauss-Seidel Iteration). Section 3.7, Iterative Methods for Linear Systems, Page 187

tss algorithm motion estimation

说明：  无监督学习，基于密度的聚类算法，实现分类(Unsupervised learning, density based clustering algorithm to achieve classification)

MATLAB程序设计电子指南Electronic Programming Guide MATLAB(MATLAB Programming Guide Electronic Programming Guide MATLAB e)