Computationally efficient norm-constrained adaptive blind deconvolution using third-order moments
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speed [i.e. Speech] and Signal Processing: Toulouse, France, 14 - 19 May 2006, Piscataway, NJ: IEEE Communications Society, 2006, Vol. 3, 752-755 p.Conference paper (Refereed)
Third-order central moments have been shown to be well suited as objective functions for blind deconvolution of impulsive signals. Online implementations of such algorithms may suffer from increasing filter norm, forcing adaptation under constrained filter norm. This paper extends a previously known efficient algorithm with self-stabilizing properties to the case of using a third-order moment objective function. New results herein use averaging analysis to determine adaptation stepsize conditions for asymptotic stability of the filter norm.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2006. Vol. 3, 752-755 p.
, I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:ltu:diva-33128DOI: 10.1109/ICASSP.2006.1660763Local ID: 7eb24240-9660-11db-8975-000ea68e967bISBN: 1-424-40468-1OAI: oai:DiVA.org:ltu-33128DiVA: diva2:1006364
IEEE International Conference on Acoustics, Speech and Signal Processing : 15/05/2006 - 19/05/2006
Validerad; 2006; 20061228 (ysko)2016-09-302016-09-30Bibliographically approved