PCA4Wiley

doppler effect simulation in matlab

《精通MATLAB最优化计算》优化的工具箱和自编函数实现双管齐下 算法原理→流程→编程→举例一杆到底 60余个程序，100余个实例一一精编精讲(" Mastering MATLAB optimization calculation optimization toolbox and self-function of the two-pronged algorithm principle → process → Programming → example one in the end more than 60 months of the program, more than 100 instances of eleven for fine Jingjiang)

用matlab编程模拟光滑表面的气体流动效应(Analog programming using matlab-smooth surface of the gas flow effect)

Nonlinear Optimization Applications

Space vector pulse width modulation

matlab下用于稳定系统设计的库文件，可以作为辅助设计系统的软件使用(Qsyn the Toolbox for Robust Control Systems Design for use with Matlab)

Bi-directional sigmoid, one-way sigmoid, linear function, sign function implementation on Matlab

This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly’s flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33- bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.

说明：  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.)

说明：  ofdm的matlab编程,绝对是好东西,简单明了,对于ofdm学习很有帮助(The OFDM matlab programming is definitely good things, simple and clear, very helpful for OFDM)