QRD-RLS Adaptive Filtering - Rilegato

 
9780387097336: QRD-RLS Adaptive Filtering
Rilegato
ISBN 10: 0387097333 ISBN 13: 9780387097336
Casa editrice: Springer-Verlag GmbH, 2009

Sinossi

I feel very honoured to have been asked to write a brief foreword for this book on QRD-RLS Adaptive Filtering–asubjectwhichhas been close to my heart for many years. The book is well written and very timely – I look forward personally to seeing it in print. The editor is to be congratulated on assembling such a highly esteemed team of contributing authors able to span the broad range of topics and concepts which underpin this subject. In many respects, and for reasons well expounded by the authors, the LMS al- rithm has reigned supreme since its inception, as the algorithm of choice for prac- cal applications of adaptive ltering. However, as a result of the relentless advances in electronic technology, the demand for stable and ef cient RLS algorithms is growing rapidly – not just because the higher computational load is no longer such a serious barrier, but also because the technological pull has grown much stronger in the modern commercial world of 3G mobile communications, cognitive radio, high speed imagery, and so on.

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Dalla quarta di copertina

QRD-RLS Adaptive Filtering covers some of the most recent developments as well as the basic concepts for a complete understanding of the QRD-RLS-based adaptive filtering algorithms. It presents this research with a clear historical perspective which highlights the underpinning theory and common motivating factors that have shaped the subject.

The material is divided into twelve chapters, going from fundamentals to more advanced aspects. Different algorithms are derived and presented, including basic, fast, lattice, multichannel and constrained versions. Important issues, such as numerical stability, performance in finite precision environments and VLSI oriented implementations are also addressed. All algorithms are derived using Givens rotations, although one chapter deals with implementations using Householder reflections.

QRD-RLS Adaptive Filtering is a useful reference for engineers and academics in the field of adaptive filtering.

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Editore
Springer-Verlag GmbH
Data di pubblicazione
2009
Lingua
Inglese
ISBN 10 
0387097333
ISBN 13 
9780387097336
Rilegatura
Copertina rigida
Numero di pagine
372
Redattore
Apolinario Jr Jose
Contatto del produttore
non disponibile
Persona responsabile
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Heidelberg
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Germania

Altre edizioni note dello stesso titolo

9781441935267: QRD-RLS Adaptive Filtering

Edizione in evidenza

ISBN 10:  1441935266 ISBN 13:  9781441935267
Casa editrice: Springer, 2010
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