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Reverberation Suppression and Modeling

Authors: D. H. Kil; D. W. Tufts; R. R. Slater;

Reverberation Suppression and Modeling

Abstract

We apply the Principal Component Inverse (PCI) method of rapidly adaptive interference suppression and signal detection to reverberation suppression and modeling. We present preliminary results for the challenging example in which the transmitted pulse is a two-second burst of hyperbolic frequency-modulated (HFM) sinusoid sweeping from 210 Hz to 280 Hz. We demonstrate improved detection performance after reverberation suppression, as compared to conventional matched filtering. We provide a physical interpretation of the principal components by presenting corresponding conventional and high-resolution temporal frequency/spatial frequency analysis of sets of snapshots from a subarray.

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    influence
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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