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Automatic Smoothing of Periodograms
Dept. of IT, Uppsala University.
Dept. of IT, Uppsala University.
Dept. of IT, Uppsala University.
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol III, Proceedings: SIGNAL PROCESSING THEORY AND METHODS, DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS, INDUSTRY TECHNOLOGY TRACKS, 2006, III-504-III-507 p.Conference paper (Refereed)
Abstract [en]

Thresholding the cepstrum associated with the periodogram is a smoothing technique that appears to be very useful for variance reduction. Here the thresholding is performed via the methods SThresh and EbayesThresh. They both work fine in the broadband spectra case, even if some of the data is missing. The SThresh method appears to be more efficient as it shows a smaller variance and is faster computationally. The smoothing methods are also shown to perform well on a real-life broadband signal.

Place, publisher, year, edition, pages
2006. III-504-III-507 p.
, International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
Keyword [en]
signal processing, spectrum analysis, spectrum estimation, spectrum modeling
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-47555DOI: 10.1109/ICASSP.2006.1660701ISI: 000245098900127ISBN: 1-4244-0469-XOAI: diva2:455638
31st IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, FRANCE, MAY 14-19, 2006
QC 20111116Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2011-11-16Bibliographically approved

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Gudmundson, Erik
Signal Processing

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