A unified view of parametric processing algorithms for prewindowed signals

Carayannis, G; Manolakis, D; Kalouptsidis, N

dc.contributor.author	Carayannis, G	en
dc.contributor.author	Manolakis, D	en
dc.contributor.author	Kalouptsidis, N	en
dc.date.accessioned	2014-03-01T01:06:31Z
dc.date.available	2014-03-01T01:06:31Z
dc.date.issued	1986	en
dc.identifier.issn	0165-1684	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9445
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0022736426&partnerID=40&md5=a007ae097e99179d9a0d6ba9b1ecfd6b	en
dc.subject	fast algorithms	en
dc.subject	FIR filtering	en
dc.subject	linear prediction	en
dc.subject	multichannel signals	en
dc.subject	Parametric processing	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	SIGNAL FILTERING AND PREDICTION	en
dc.subject.other	FIR FILTERING	en
dc.subject.other	LINEAR PREDICTION	en
dc.subject.other	MULTICHANNEL SIGNALS	en
dc.subject.other	PARAMETRIC PROCESSING ALGORITHMS	en
dc.subject.other	PREWINDOWED SIGNALS	en
dc.subject.other	SIGNAL PROCESSING	en
dc.title	A unified view of parametric processing algorithms for prewindowed signals	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1986	en
heal.abstract	This paper offers a unified overview of the algorithms developed for the processing of 'prewindowed' signals. The prewindowing assumption leads to simple and efficient schemes which find applications in many areas of modern DSP but especially in the digital communications field (adaptive equalization, echo cancellation, etc.). Algorithms for both least-squares filtering and linear prediction of multichannel signals are considered. The multichannel approach was chosen here instead of the single-channel one because in some situations the generalization of the single-channel case is not trivial. (The inverse is trivial.) On the other hand, an increasing number of researchers is willing to practice multichannel DSP (biological signals, beamforming techniques in radar applications, etc.) and can find in those algorithms a tool 'ready for use'. The presentation covers fast order-recursive schemes and sequential methods for direct (transversal) and lattice-ladder implementations. In the latter case, normalized and unnormalized lattice-ladder forms are discussed. The derivation of all algorithms using a unified approach reveals the relationships among the various variables and between fast algorithms for direct and lattice-ladder structures. © 1986.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Signal Processing	en
dc.identifier.isi	ISI:A1986C934400001	en
dc.identifier.volume	10	en
dc.identifier.issue	4	en
dc.identifier.spage	335	en
dc.identifier.epage	368	en