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Skewness maximization for impulsive sources in blind deconvolution
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2004 (English)In: Norsig 2004: proceedings of the 6th Nordic Signal Processing Symposium : June 9-11, 2004, Espoo, Finland / [ed] Jarmo M.A. Tanskanen, Helsinki: Helsinki University of Technology , 2004, 304-307 p.Conference paper (Refereed)
Abstract [en]

In blind deconvolution problems, a deconvolution filter is often determined in an iterative manner, where the filter taps are adjusted to maximize some objective function of the filter output signal. The kurtosis of the filter output is a popular choice of objective function. In this paper, we investigate some advantages of using skewness, instead of kurtosis, in situations where the source signal is impulsive, i.e. has a sparse and asymmetric distribution. The comparison is based on the error surface characteristics of skewness and kurtosis.

Place, publisher, year, edition, pages
Helsinki: Helsinki University of Technology , 2004. 304-307 p.
, Helsinki University of Technology Signal Processing Laboratory report series, 46
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-39759DOI: 10.1109/NORSIG.2004.250187Local ID: e9ef75a0-a01a-11db-8975-000ea68e967bISBN: 951-22-7065-XOAI: diva2:1013277
Nordic Signal Processing Symposium : 09/06/2004 - 11/06/2004
Godkänd; 2004; 20070109 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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