Multivariate High Resolution Spectral Estimation

Version 1.2 (18,9 KB) von Mattia Zorzi
We use the THREE like estimator based on the tau divergence to estimate spectral lines
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Aktualisiert 17 Mär 2018

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THREE estimates the power spectral density of a multivariate discrete-time stochastic process.
Such estimates can achieve high resolution in frequency bands defined by the user.
Three examples are provided. In Example1 we estimate a spectral line immersed in colored noise.
In Example2 we estimate two spectral lines in two different channels. In Example3 we estimate
the sunspot cycle by detecting the corresponding spectral line.
For more details see the papers:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6909016
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6676836&queryText=a%20new%20family%20of%20high%20resolution&newsearch=true
http://link.springer.com/article/10.1007/s00498-013-0118-2

Zitieren als

Mattia Zorzi (2024). Multivariate High Resolution Spectral Estimation (https://www.mathworks.com/matlabcentral/fileexchange/47341-multivariate-high-resolution-spectral-estimation), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2013b
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
1.2

Updated version
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1.1.0.0

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1.0.0.0