Publication | Open Access
Frequency estimation by principal component AR spectral estimation method without eigendecomposition
40
Citations
11
References
1988
Year
Spectral TheoryArray ProcessingStatistical Signal ProcessingEngineeringFiltering TechniqueData ScienceEigenvalue Filtering MethodFrequency EstimationAutocorrelation MatrixSpectral AnalysisSpectrum EstimationInverse ProblemsTimefrequency AnalysisPrincipal Component AnalysisMatrix AnalysisSignal ProcessingComputer Simulation
An eigenvalue filtering method is proposed that applies a transformation to an autocorrelation matrix, which has the effect of truncating the undesired eigenvalues so that the corresponding matrix function closely approximates the pseudoinverse. It is shown using a computer simulation that compared to the forward-backward method, the proposed method enhances the threshold in SNR by about 6-8 dB. Further improvement is obtained by a simple subset selection method and a second eigenvalue filtering iteration.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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