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[转载]谱估计Matlab

luyued 发布于 2011-06-19 05:43   浏览 N 次  
原文地址:谱估计Matlab作者:帝国基石

谱估计

spectrum - Spectral estimation

Syntax

Hs = spectrum.estmethod(input1,...)

Description

Hs = spectrum.estmethod(input1,...) returns a spectral estimation object Hs of type estmethod. This object contains all the parameter information needed for the specified estimation method. Each estimation method takes one or more inputs, which are described on the individual reference pages.

Estimation Methods

Estimation methods for spectrum specify the type of spectral estimation method to use. Available estimation methods for spectrum are listed below.

Note You must use a spectral estmethod with spectrum.

Spectrum Estimation Methods

spectrum.estmethod

Description

Corresponding Function

spectrum.burg

Burg

pburg

spectrum.cov

Covariance

pcov

spectrum.eigenvector

Eigenvector

peig

spectrum.mcov

Modified covariance

pmcov

spectrum.mtm

Thompson multitaper

pmtm

spectrum.music

Multiple Signal Classification

pmusic

spectrum.periodogram

Periodogram

periodogram

spectrum.welch

Welch

pwelch

spectrum.yulear

Yule-Walker

pyulear

For more information on each estimation method, use the syntax help spectrum.estmethod at the MATLAB(R) prompt or refer to its reference page.

Note For estimation methods that use overlap and window length inputs, you specify the number of overlap samples as a percent overlap and you specify the segment length instead of the window length.

For estimation methods that use windows, if the window uses an additional parameter, a property is dynamically added to the spectrum object for that parameter. You can change that property using set (see Changing Object Properties).

Methods

Methods provide ways of performing functions directly on your spectrum object without having to specify the spectral estimation parameters again. You can apply these methods directly on the variable you assigned to your spectrum object. For more information on any of these methods, use the syntax help spectrum/method at the MATLAB prompt or refer to the table below.

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