vehiclefuzzy-control

this pdf details about hoe to write mat lab code efficiently with in less time

PURPOSE: Helper function part of UCSD_GARCH toolbox. Used if you do not use the MEX file.

matlab pso-xc evolve2.m matlab pso-xc evolve.m

说明：  1/3倍频程的实现，先fft然后计算上下限频率。(The realization of 1 / 3 octave, FFT first and then calculate the upper and lower frequency.)

MLFT的算法（matlab）用matlab来实现(MLFT algorithms (matlab) using matlab to realize)

1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法(1.Fisher Classification Algorithm 2. Perceptron algorithm 3. Least-squares algorithm 4. Fast nearest neighbor 5.K-neighbor method 6. Clips neighbor neighbor method and compression method 7. Binary Decision Tree Algorithm)

这个文件可以用来更改matlab生成的界面的标题栏的小山似的图标，换为自己自定义的任何图片(This document can be used to generate matlab change the title bar of the interface of the hill-like icon for their own self-definition for any picture)

主要用于高层建筑的减振设计,根据线性振动理论,用matlab高级语言编写而成,由一个主程序和四个子程序组成(mainly for high-rise building design of the vibration, linear vibration theory, use the advanced language Matlab has been prepared by a main program and four subroutine composition)

speech analysis windowing of speech signal

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)