moditest

径向基函数网络应用实例 希望对大家有帮助(Application of radial basis function networks hope to help)

Revival of a 14 years old code (written in 1991 for MATLAB 2.x). Given a set of measured x,y pairs that a re supposed to reside on a circle, but with some added noise. A circle to these points, i.e. find xc,yc,R, such that (x-xc)^2+(y-yc)^2=R^2 The method minimizes the sum of squared radial deviations.

短时分数阶傅里叶变换的Matlab子函数(short time fractional fourier transform)

基于Matlab/Simulink建立的变压器内部仿真模型，可以进行变压器内部整个绕组的单相接地、两相短路、两相接地短路、三相短路等故障的仿真。(The internal simulation model of transformer based on Matlab/Simulink can carry out the simulation of single phase grounding, two phase short circuit, two-phase short circuit and three-phase short circuit of the whole winding. )

LMS算法使用matlab语言实现仿真 用于自适应滤波器(LMS algorithm using matlab simulation language used to achieve adaptive filter)

matlab 50个练习的好例子,包括常见的算法和数学公式,方便学习(matlab 50 months of good practice examples, including the common algorithms and mathematical formulas to facilitate the learning)

基于MATLAB开发环境的图论中的最短路径模型(Graph Theory MATLAB development environment based on the shortest path model)

地震波的显示，位移反应谱，速度反应谱，加速度反应谱的计算。(Display of seismic waves, the displacement response spectrum, velocity response spectrum, calculates the acceleration response spectrum.)

说明：  以PPT的形式详细介绍了，bp神经网络用于预测的过程，给matlab神经网络预测提供一种较好的编程思路。(In the form of PPT, the process of BP neural network used in prediction is introduced in detail, which provides a better programming idea for matlab neural network prediction.)

本程序按照胡广书《现代数字信号处理》书中的谱估计的内容仿真了各种经典谱估计方法以及现代谱估计方法（周期图法、BT法、welch法、自相关法、修正的协方差法、burg法），因为是课程作业，因此逻辑上写得十分简洁，适合初学者参考。(The program in accordance with the Hu-book of modern digital signal processing book spectral estimation simulation the various classical spectrum estimation methods, as well as the modern spectral estimation methods (periodogram, BT France, welch method, auto-correlation method, the modified covariance method , burg method), because the course work, so logically written very simple for beginners.)