Djuric---MCiSP

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)

智能控制理论中课程设计的一个实例，是bp-pid控制的一个针对非线性的matlab课程设计任务书和源代码。(Intelligent control theory in an example of curriculum design is a bp-pid control design for nonlinear matlab program mission statement and source code.)

小生境遗传算法，该算法易于找出优化问题的所有局部最优解和全局最优解(Niche Genetic Algorithm. The algorithm is easy to find the optimization problem in all local optimal solution and the global optimal solution)

based on Newton method on load flow program that can help you better electrical system optimization

说明：  使用遗传算法优化PID参数，附原创教程及源码、试验数据及照片(PID parameters using genetic algorithm optimization, with tutorials and the original source code, test data and photographs)

语音识别的matlab实现 不过是p-file 可以运行 (Matlab voice recognition is the realization of p-file to run )

本文件用来实现基于图像处理和模式识别的采用matlab语言编写的的车牌识别程序(This file is used to realize image processing and pattern recognition based on the use of written matlab license plate recognition program)

this ias uase in anay appacation

for generate signal with noise for filter app

fs = 8000 t = (0:1/fs:1). x1 = cos(2*pi*t*300) x2 = cos(2*pi*t*400) ha = phased.ULA( NumElements ,10, ElementSpacing ,1) ha.Element.FrequencyRange = [100e6 300e6] fc = 150e6 x = collectPlaneWave(ha,[x1 x2],[10 20 45 60] ,fc) rng default noise = 0.1/sqrt(2)*(randn(size(x))+1i*randn(size(x))) hdoa = phased.ESPRITEstimator( SensorArray ,ha,... OperatingFrequency ,fc) doas = step(hdoa,x+noise) az = broadside2az(sort(doas),[20 60])