round60063

微粒群算法结合灰色系统理论进行预测的matlab代码，精确度较高(Particle Swarm Optimization of gray system theory to predict the matlab code, high precision)

小球撞壁变色的matlab程序，以一图片为背景，小球随机移动，小球撞壁时颜色改变(The ball hit the wall discoloration matlab program)

对于学习实esprit比较实用，大家可以参考一下(To learn a real esprit is more practical, everybody can consult)

说明：  Numerical calculation of an integral using trapeze algorithm

斐波纳契数列在现代物理、准晶体结构、化学等领域都有直接的应用，为此，美国数学会从1960年代起出版了《斐波纳契数列》季刊，专门刊载这方面的研究成果。 (Fibonacci series in modern physics, quasi-crystalline structure, chemical and other fields have direct application, for which the American Mathematical Society published since the 1960s, " Fibonacci series" quarterly, is devoted to research in this area .)

史密斯图(Smith chart)是一款用于电机与电子工程学的图表，主要用于传输线的阻抗匹配上。在复平面上采用双线性变换。实部 r=常数和虚部 x=常数，两族正交直线变化为正交圆并与反射系数|G|=常数和虚部x=常数套用而成。本文档通过MATLAB来编写程序，绘制一个完整的SMITH圆图(Smith figure (Smith chart) is a for electrical and electronic engineering chart, mainly for the transmission line on the impedance matching in the plane bilinear transformation real part r = constant and imaginary part x = constant, two RACES straight for orthogonal round orthogonal changes and and reflection coefficient | G | = constant and imaginary part x = constant apply mechanically and into this document to write the program through MATLAB, draw a complete Smith circle diagram )

algoritmo de detencion temprana

不同柴油发电机组并联运行MATLAB仿真模型，通用性强，微网系统研究运行研究的重要部分。(Parallel operation of MATLAB simulation model of different diesel generating set, strong versatility, an important part of research on the operation of micro grid system.)

Demo RVM relevance vector machine matlab

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)