Improving-the-processing

一个完整的环境激励下随机减量matlab算法程序(this is a program about RD tecnique)

波克林顿法分析半波振子的电流分布，方向图，增益大小，三维方向图(Analysis of Clinton' s half-wave wave oscillator current distribution, pattern, gain size, three-dimensional pattern)

This is the solution of chapter 12 example 1 from advanced engineering electromagnetics by Constantine A. Balanis.The solution is based on MATLAB.

粒子群优化的梯形水电站优化调度程序，用粒子群算法优化调度梯级水电站，有详细注释(PSO，Optimal Scheduling of Cascade Hydropower Program)

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.

induction motor calculations

可以在蓝色背景下找到肤色散点分布图，从而确定肤色在YCBCR空间内的分布情况(Can be found in the blue background color scatter distribution, to determine the color space in the distribution of YCBCR)

将利用HBMAT读出来的hb文件转换为matlab稀疏存贮，得到结构刚度阵质量阵等等(Will be read out by HBMAT hb files into matlab sparse storage, mass matrix by matrix stiffness, etc.)

matlab函数实现任意位置平行线圈的互感值计算(matlab function anywhere in parallel to achieve the mutual inductance value of the coil)

建立LibSVM预测模型，基于网格算法、粒子群算法、遗传算法优化了模型参数，并由最终模型预测了给定切削参数下零件的粗糙度等级。(Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the cutting parameters of parts roughness class.)