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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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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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Qrd- Rls Adaptive Filtering (Hb)
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QRD-RLS Adaptive Filtering
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QRD-RLS Adaptive Filtering
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Zustand: New. 376 pp., hardcover, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Artikel-Nr. ZB1329230
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Seminaire Bourbaki, Vol. 1978/79, Exposes 525 - 542. Avec Table Par Noms d'Auteurs de 1967/68 a 1978/79
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Springer-Verlag, New York, 1980
ISBN 10: 0387097333
ISBN 13: 9780387097336
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Paperback. Zustand: Very Good. New York: Springer-Verlag, 1980. iv, 341 pp. 24.5 x 16.5 cm. Stiff paper wrappers printed in yellow and black with black titling to cover and spine. Rubbing to spine ends and extremities of covers. Some mild to moderate staining to covers and spine. Light soil to edges of text block. Mild age toning throughout text block, which is clean and unmarked. Binding sound with no creases or cracks. . Soft Cover. Very Good. Artikel-Nr. 627870
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Qrd-rls Adaptive Filtering
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QRD-RLS Adaptive Filtering
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Springer US, Springer New York Feb 2009, 2009
ISBN 10: 0387097333
ISBN 13: 9780387097336
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Artikel-Nr. 9780387097336
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QRD-RLS Adaptive Filtering
Verlag:
Springer US, Springer New York, 2009
ISBN 10: 0387097333
ISBN 13: 9780387097336
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780387097336
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QRD-RLS Adaptive Filtering
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