Adaptive Filtering: Fundamentals and Applications - Softcover

Shukri Salman, Mohammad ; Kukrer, Osman ; Hocanin, Aykut

9783846548028: Adaptive Filtering: Fundamentals and Applications

Softcover

ISBN 10: 3846548022 ISBN 13: 9783846548028

Verlag: LAP LAMBERT Academic Publishing, 2011

Alle Exemplare dieser ISBN-Ausgabe

0 Gebraucht

7 Neu

Von EUR 49,00

Adaptive filtering techniques are widely used to cope with the variations of system parameters. In FIR adaptive filtering, the filter weights are updated iteratively by minimizing the MSE of the difference between the desired response of the adaptive filter and its output. However, most of the existing adaptive filters experience many difficulties; fixed-step size which provides poor performance in highly correlated environments, high computational complexity, stability due to the inversion of the autocorrelation matrix, tracking ability in non-stationary and impulsive noise environments. The novelty of this work resides in introducing new FIR adaptive filtering algorithms. These algorithms have been proposed to overcome some of the difficulties experienced with the existing adaptive filtering techniques. These approaches use a variable step-size and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance. Avoiding the use of the inverse autocorrelation matrix, as the case of RLS algorithm, would provide more stable performance.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

�ber die Autorin bzw. den Autor

M. S. Salman has received the B.Sc., M.Sc. & Ph.D. degrees from Eastern Mediterranean University, North Cyprus in 2006, 2007 & 2011, respectively, all in Electrical Engineering. He served as a reviewer of many SCI & SCI exp journals and he is a TPC member of many conferences. He is currently an Assist. Prof. Dr. in EEE dept at Mevlana University.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2011
Sprache: Englisch
ISBN 10: 3846548022
ISBN 13: 9783846548028
Einband: Taschenbuch
Anzahl der Seiten: 104
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: JustFiction Edition
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland

Suchergebnisse f�r Adaptive Filtering: Fundamentals and Applications

Foto des Verk�ufers

Adaptive Filtering

Mohammad Shukri Salman

Verlag: LAP LAMBERT Academic Publishing Nov 2011, 2011

ISBN 10: 3846548022 ISBN 13: 9783846548028

Neu Taschenbuch

Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adaptive filtering techniques are widely used to cope with the variations of system parameters. In FIR adaptive filtering, the filter weights are updated iteratively by minimizing the MSE of the difference between the desired response of the adaptive filter and its output. However, most of the existing adaptive filters experience many difficulties; fixed-step size which provides poor performance in highly correlated environments, high computational complexity, stability due to the inversion of the autocorrelation matrix, tracking ability in non-stationary and impulsive noise environments. The novelty of this work resides in introducing new FIR adaptive filtering algorithms. These algorithms have been proposed to overcome some of the difficulties experienced with the existing adaptive filtering techniques. These approaches use a variable step-size and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance. Avoiding the use of the inverse autocorrelation matrix, as the case of RLS algorithm, would provide more stable performance. 104 pp. Englisch. Bestandsnummer des Verk�ufers 9783846548028

Verk�ufer kontaktieren

Neu kaufen

EUR 49,00

EUR 23,00 Versand
Versand von Deutschland nach USA

Anzahl: 2 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Adaptive Filtering

Mohammad Shukri Salman|Osman Kukrer|Aykut Hocanin

Verlag: LAP LAMBERT Academic Publishing, 2011

ISBN 10: 3846548022 ISBN 13: 9783846548028

Neu Softcover

Print-on-Demand

Anbieter: moluna, Greven, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shukri Salman MohammadM. S. Salman has received the B.Sc., M.Sc. & Ph.D. degrees from Eastern Mediterranean University, North Cyprus in 2006, 2007 & 2011, respectively, all in Electrical Engineering. He served as a reviewer of many S. Bestandsnummer des Verk�ufers 5498270

Verk�ufer kontaktieren

Neu kaufen

EUR 41,05

EUR 48,99 Versand
Versand von Deutschland nach USA

Anzahl: Mehr als 20 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Adaptive Filtering

Mohammad Shukri Salman

Verlag: LAP LAMBERT Academic Publishing Nov 2011, 2011

ISBN 10: 3846548022 ISBN 13: 9783846548028

Neu Taschenbuch

Print-on-Demand

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adaptive filtering techniques are widely used to cope with the variations of system parameters. In FIR adaptive filtering, the filter weights are updated iteratively by minimizing the MSE of the difference between the desired response of the adaptive filter and its output. However, most of the existing adaptive filters experience many difficulties; fixed-step size which provides poor performance in highly correlated environments, high computational complexity, stability due to the inversion of the autocorrelation matrix, tracking ability in non-stationary and impulsive noise environments. The novelty of this work resides in introducing new FIR adaptive filtering algorithms. These algorithms have been proposed to overcome some of the difficulties experienced with the existing adaptive filtering techniques. These approaches use a variable step-size and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance. Avoiding the use of the inverse autocorrelation matrix, as the case of RLS algorithm, would provide more stable performance.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 104 pp. Englisch. Bestandsnummer des Verk�ufers 9783846548028

Verk�ufer kontaktieren

Neu kaufen

EUR 49,00

EUR 60,00 Versand
Versand von Deutschland nach USA

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Adaptive Filtering : Fundamentals and Applications

Mohammad Shukri Salman

Verlag: LAP LAMBERT Academic Publishing, 2011

ISBN 10: 3846548022 ISBN 13: 9783846548028

Neu Taschenbuch

Print-on-Demand

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptive filtering techniques are widely used to cope with the variations of system parameters. In FIR adaptive filtering, the filter weights are updated iteratively by minimizing the MSE of the difference between the desired response of the adaptive filter and its output. However, most of the existing adaptive filters experience many difficulties; fixed-step size which provides poor performance in highly correlated environments, high computational complexity, stability due to the inversion of the autocorrelation matrix, tracking ability in non-stationary and impulsive noise environments. The novelty of this work resides in introducing new FIR adaptive filtering algorithms. These algorithms have been proposed to overcome some of the difficulties experienced with the existing adaptive filtering techniques. These approaches use a variable step-size and the instantaneous value of the autocorrelation matrix in the coefficient update equation that leads to an improved performance. Avoiding the use of the inverse autocorrelation matrix, as the case of RLS algorithm, would provide more stable performance. Bestandsnummer des Verk�ufers 9783846548028

Verk�ufer kontaktieren