shiyucaiyang

说明：  密码学中RSA算法的MATLAB实现。包含算法说明及程序验证。(Cryptography RSA algorithm MATLAB implementation. Contains the algorithm description and program verification.)

procedure un matlab to plot Tanner graph, it´ s not useful to wide matrices, can´ t view de edges of de graph

This file is part of wl12xx.

matabl filtered high frequency noisy

基于matlab的128位aes加密解密算法 有效利用pipeline提高了设计的时钟频率和吞吐量 是一个十分高效的作品(Effective use of pipeline based on matlab 128 aes encryption and decryption algorithm improves the design of the clock frequency and throughput is a very efficient work)

说明：  详细的介绍用Matlab处理数字信号的方法(Detailed introduction of digital signal processing using Matlab method)

利用梯度下降算法实现二分类，适合初学模式识别的人(Gradient descent algorithm using two categories, one for beginners pattern recognition)

matlab实现kalman滤波，并标注(kalman filter)

基于matlab软件的联络线功率波动的功率取样源代码(Tie-line power fluctuation of power sampling)

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)