Change search
ReferencesLink to record
Permanent link

Direct link
Warp convergence in conjugate gradient Wiener filters
Colorado State University.
2004 (English)In: 2004 IEEE Sensor Array and Multichannel Signal Processing Workshop: 18 - 21 July 2004, Barcelona, Spain, Piscataway, NJ: IEEE Communications Society, 2004, 109-113 p.Conference paper (Refereed)
Abstract [en]

In this work, we present interesting case studies that lead to new and deeper results on fast convergence of reduced-rank conjugate gradient (RRCG) Wiener filters (WF), for applications in communications and sensor array signal processing. We discover that for signal modes with a specially structured Gram matrix, which induces L groups of distinct eigenvalues in the data covariance matrix, a fast and predictable convergence, in at most L steps, can be achieved when the RRCG WF is used to detect, and/or to focus on, the desired signal mode. For such applications, given knowledge of the repeated eigenstructure of the Gram matrix of signal modes or of the measurement covariance matrix, a RRCG Wiener filter, of at most rank L, delivers the same performance as the full-rank Wiener filter. Typically L is much less than the rank of the Gram matrix.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2004. 109-113 p.
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-37587DOI: 10.1109/SAM.2004.1502918Local ID: ba7ce430-f17c-11df-8b36-000ea68e967bISBN: 0-7803-8545-4OAI: oai:DiVA.org:ltu-37587DiVA: diva2:1011085
Conference
IEEE Sensor Array and Multichannel Signal Processing Workshop : 18/07/2004 - 21/07/2004
Note
Upprättat; 2004; 20101116 (ysko)Available from: 2016-10-03 Created: 2016-10-03

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lundberg, Magnus

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 1 hits
ReferencesLink to record
Permanent link

Direct link