spiht-matlab

说明：  基于chebyshev的水声信号分析算法，包括多种分析结果(Chebyshev acoustic-based signal analysis algorithms, including a variety of analytical results)

说明：  蔡氏混沌同步，程序，调用十分完整，绝对好用。同机构同步系统(Chua' s chaotic synchronization, the program, call is complete, the absolute ease of use. Synchronization system with the agency)

Jadi, analisis Kurva Tegangan dan studi tentang motor sinkron menggunakan MATLAB m-file adalah pilihan yang baik di lingkungan industri.

A Proportional-Integral observer discrete case.

在MATLAB中建立异步电动机的风力机模拟系统模型(Lei Lu, Zhen Xie, Xing Zhang, Shuying Yang, Renxian Cao. A Dynamic Wind Turbine Simulator of the wind turbine generator system[J]. IEEE International Conference on Intelligent Systems Design and Engineering Application,2012.)

北京邮电大学的通信MATLAB仿真跟大家分享下(Beijing University of Posts and Communications MATLAB simulation share with you the next)

说明：  基于Matlab的基阵方向性仿真,球面坐标网格的基阵方向性图(An Approach of FCM Clustering Segmentation for Building Groups from Urban Aerial Images )

EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

linearconvolution with matlab

Nonlinear Total Variation based noise removal algorithms. Based on: L. Rudin, S. Osher, E. Fatemi