DocumentCode :
1071663
Title :
Time-Frequency Coherent Modulation Filtering of Nonstationary Signals
Author :
Clark, Pascal ; Atlas, Les E.
Author_Institution :
Univ. of Washington, Seattle, WA, USA
Volume :
57
Issue :
11
fYear :
2009
Firstpage :
4323
Lastpage :
4332
Abstract :
Modulation filtering is a class of techniques for filtering slowly-varying modulation envelopes of frequency subbands of a signal, ideally without affecting the subband signal´s temporal fine-structure. Coherent modulation filtering is a potentially more effective type of such techniques where, via an explicit product model, subband envelopes are determined from demodulation of the subband signal with a coherently detected subband carrier. In this paper we propose a coherent modulation filtering technique based on detecting the instantaneous frequency of a subband from its time-frequency representation. We devise theory to show that coherent modulation filtering imposes a new bandlimiting constraint on the product of the modulator and carrier as well as the ability to recover arbitrarily chosen envelopes and carriers from their modulation product. We then formally show that a carrier estimate based on the time-varying spectral center-of-gravity satisfies the bandlimiting condition. This bandwidth constraint leads to effective and artifact-free modulation filters, offering new approaches for potential signal modification. However, the spectral center-of-gravity does not, in general, satisfy the condition of arbitrary carrier recovery. Finally, the results from modulation-filtering a speech signal are then used to validate the theory.
Keywords :
filtering theory; modulation; signal representation; time-frequency analysis; center-of-gravity; nonstationary signals; slowly-varying modulation envelopes; time-frequency coherent modulation filtering; time-frequency representation; Bandwidth; instantaneous frequency; modulation; modulation filtering; speech processing; time-frequency analysis; time-varying filters;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2009.2025107
Filename :
5072242
Link To Document :
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