dc.contributor.author |
Kalouptsidis, N |
en |
dc.contributor.author |
Manolakis, D |
en |
dc.contributor.author |
Carayannis, G |
en |
dc.date.accessioned |
2014-03-01T01:38:30Z |
|
dc.date.available |
2014-03-01T01:38:30Z |
|
dc.date.issued |
1983 |
en |
dc.identifier.issn |
01651684 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/22211 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0020496780&partnerID=40&md5=4f936542a346de75b066bef11b8e6bcc |
en |
dc.subject |
fast algorithms |
en |
dc.subject |
Multichannel signal processing (MSP) |
en |
dc.subject |
parametric signal modelling |
en |
dc.subject |
Toeplitz and banded Toeplitz matrices |
en |
dc.subject |
Wiener filtering |
en |
dc.subject.other |
MULTICHANNEL SIGNAL PROCESSING |
en |
dc.subject.other |
SIGNAL PROCESSING |
en |
dc.title |
A family of computationally efficient algorithms for multichannel signal processing-A tutorial review |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
1983 |
en |
heal.abstract |
This paper is concerned with the solution of block linear systems arising in multichannel digital signal processing. First the general problem of block matrix inversion and linear system solution is considered and a corresponding algorithm, recursive in nature, is developed, together with a block form of triangularization theorem. Subsequently these general schemes are specialized to block Toeplitz structures yielding most existing efficient algorithms. To this respect, matrices related to multichannel Wiener filtering, AR and ARMA modelling as well as s+1 steps ahead prediction are examined and related algorithms are described. Finally block banded Toeplitz systems are considered and two new efficient algorithms are presented, one recursive in nature and the other FFT based. They constitute natural extensions of methods already available for the single channel case and their derivation is simple due to the unified approach introduced in this paper. © 1983. |
en |
heal.journalName |
Signal Processing |
en |
dc.identifier.volume |
5 |
en |
dc.identifier.issue |
1 |
en |
dc.identifier.spage |
5 |
en |
dc.identifier.epage |
19 |
en |