Abstract | ||
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In this correspondence, we extend the recently introduced one-dimensional Capon-based Magnitude Square Coherence (MSC) spectral estimator, to form two-dimensional Capon- and Amplitude and Phase EStimation (APES)-based MSC spectral estimators. The resulting estimators are found to yield significantly improved estimates as compared to the typical Welch-based estimator. Furthermore, we introduce a computationally efficient time-updating of the presented MSC estimators, exploiting their inherent time-varying displacement structure. The presented updating is found to dramatically lower the computational requirement of reevaluating the MSC spectral estimates |
Year | DOI | Venue |
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2007 | 10.1109/TSP.2007.892715 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
spectral estimator,computational requirement,typical welch-based estimator,magnitude square coherence,improved estimate,phase estimation,msc estimator,msc spectral estimate,msc spectral estimator,computationally efficient time-updating,2-d coherence spectrum,filter bank,spectral estimation,spectrum analysis,iteration method,apes,iterative methods,multidimensional signal processing,computational complexity,robustness,spectrum | Multidimensional signal processing,Control theory,Iterative method,Algorithm,Coherence (physics),Capon,Estimation theory,Statistics,Amplitude,Mathematics,Computational complexity theory,Estimator | Journal |
Volume | Issue | ISSN |
55 | 5 | 1053-587X |
Citations | PageRank | References |
11 | 0.99 | 11 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Jakobsson | 1 | 409 | 43.32 |
S. R. Alty | 2 | 28 | 6.44 |
Jacob Benesty | 3 | 1941 | 146.01 |