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文件名称:music
介绍说明--下载内容来自于网络,使用问题请自行百度
function Px = music(x,p,M)
MUSIC Frequency estimation using the MUSIC algorithm.
-----
USAGE Px=music(x,p,M)
The input sequence x is assumed to consist of p complex
exponentials in white noise. The frequencies of the
complex exponentials and the variance of the white noise
are estimated using the MUSIC algorithm.
x : input sequence
p : number of complex exponentials to find
M : number of noise eigenvectors to use
The frequency estimates are found from the peaks of the
pseudospectrum Px.-function Px = music(x,p,M)
MUSIC Frequency estimation using the MUSIC algorithm.
-----
USAGE Px=music(x,p,M)
The input sequence x is assumed to consist of p complex
exponentials in white noise. The frequencies of the
complex exponentials and the variance of the white noise
are estimated using the MUSIC algorithm.
x : input sequence
p : number of complex exponentials to find
M : number of noise eigenvectors to use
The frequency estimates are found from the peaks of the
pseudospectrum Px.
MUSIC Frequency estimation using the MUSIC algorithm.
-----
USAGE Px=music(x,p,M)
The input sequence x is assumed to consist of p complex
exponentials in white noise. The frequencies of the
complex exponentials and the variance of the white noise
are estimated using the MUSIC algorithm.
x : input sequence
p : number of complex exponentials to find
M : number of noise eigenvectors to use
The frequency estimates are found from the peaks of the
pseudospectrum Px.-function Px = music(x,p,M)
MUSIC Frequency estimation using the MUSIC algorithm.
-----
USAGE Px=music(x,p,M)
The input sequence x is assumed to consist of p complex
exponentials in white noise. The frequencies of the
complex exponentials and the variance of the white noise
are estimated using the MUSIC algorithm.
x : input sequence
p : number of complex exponentials to find
M : number of noise eigenvectors to use
The frequency estimates are found from the peaks of the
pseudospectrum Px.
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music.m
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