AMDF_MatlabAnalysis

Ebook - Current sensing for energy metering

RADPATTERN - radiations patterns, total radiated power Syntax: radpattern Description: RADPATTERN should be run after IMPEDANCE. It uses the MoM soulution obtained previously in order to compute the far fields. RADPATTERN finds the far field at a given frequency that needs to be specified below.Also, the observation sphere(radius) or circle (radius/plane) need to be specified as well. RADPATTERN finds: - total radiated power over a large sphere (sphere mesh is given in subfolder CODES) - antenna gain or absolute directivity in certain planes, including co-polar field and cross-polar field. MATLAB Antenna Toolbox Draft 05, Antenna Lab, ECE, WPI, mat05@ece.wpi.edu Authors: S. Kulkarni, A. Marut, S. Makarov

学会怎样快速高效的进行matlab编程，这篇文章说明了怎样把任何一种矩阵转换成行向量，比较实用(Learn how to fast and efficient conduct of matlab programming, this article explains how to convert any kind of trip matrix vector, more practical)

本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好(This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good)

驱动力行驶阻力平衡图可以求出汽车行驶最大速度(The equilibrium diagram of the running resistance of the driving force can be calculated maximum speed of the vehicle traveling)

动态时间规整的一个应用实例，能够运行，希望对大家有用(Dynamic time warping, an application instance, can run, we want to be useful)

简单数字调制编程，方便初学者学习 简单数字调制编程，方便初学者学习(Simple digital modulation program, easy for beginners to learn simple programming of digital modulation, easy for beginners to learn)

eye diagrams in communication

基于matlab的信道编码实现，包括现行分组码和循环码和卷积码，通过比较得到不同信道编码方式的性能区别(Matlab-based channel coding to achieve, including the current block codes and cyclic codes and convolutional codes, obtained by comparing the different channel coding performance difference)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */