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Factor analysis for spectral estimation
Joakim Andén
,
Amit Singer
Mathematics
Center for Statistics & Machine Learning
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
7
Scopus citations
Overview
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Dive into the research topics of 'Factor analysis for spectral estimation'. Together they form a unique fingerprint.
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Mathematics
Experimental Data
33%
Factor Analysis
100%
Linear Combination
33%
Power Spectra
100%
Simulated Data
33%
Statistical Model
33%
Stochastics
33%
Engineering
Linear Combination
50%
Power Spectra
100%
Power Spectrum Estimation
50%
Spectral Estimation
100%
Statistical Model
50%
Computer Science
Power Spectrum Estimation
100%
Random Linear Combination
100%
Spectral Estimation
100%
Keyphrases
Accuracy Guarantee
50%
Individual Power
50%
Multitaper Method
50%
Random Linear Combination
50%
Short Signal
50%
Stochastic Sources
50%
Physics
Factor Analysis
100%
Spectral Estimation
100%