MUSIC

数字信号处理程序——用FFT实现信号频谱分析的matlab程序(Digital signal processing procedures- implementation using FFT signal spectrum analysis matlab program)

The objective of this paper is to provide a road map to understanding and use of real-time design patterns. To meet this objective, we provide a brief overview of the origins of design patterns, then discuss a wide variety of specific real-time design patterns, and finally provide our own classification of patterns, which is derived from a systematic approach to real-time system design and real -time software architectures.

在中国学习信号处理的大概没有谁没听说过本书的作者之一Oppenheim。 这是一本入门性的书，介绍如何使用MatLab进行信号分析。 (Computer-Based Exercises for Signal Processing Using MATLAB 5 )

这个程序是用matlab绘画三角阵位置和三角阵列接收信号数据的功率密度函数(This program is a triangular matrix using matlab painting has been in matlab run)

vmd经验模态分解，修正的vmd,有实际例子。(Vmd empirical mode decomposition, the revised vmd, there are practical examples.)

天线的仿真程序，给出了天线的各个参数。具有很高的参考价值(Antenna simulation program, given the various parameters of the antenna. Have a high reference value)

pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes.

EasyMod is a MatLab/Scilab toolbox for teaching modal analysis. It provides a set of functions allowing to establish the identification of modal parameters and these validation. Nowadays, circle-fit, line-fit and least square complex exponential methods are implemented. In addition, some relevant functions are offered in order to complete a modal analysis: operations on the frequency response function (FRF) , generation of FRF from mass, damping and stiffness matrices, MAC (modal assurance criterion) and modal collinearity

我写的灰色系统，包括最普通的GM(1,1)，新陈代谢模型，GM(2,1)模型，verhulst模型，编程全部根据《灰色系统理论及其应用》(these are all about grey model theory,including GM(1,1),GM(2,1),verhulst)

实现了曲线拟合，关于客车燃油经济性的曲线(vc++ achieve numerical simulation with the approximation method of calculating least-squares curve fitting )