The main objective of cancellation of acoustic echo is better communication and providing an echo free environment. This book is designed to meet the advanced approach of various echo cancellation techniques used in signal processing. It contains the details of the adaptive algorithms like normalized least mean square, affine projection algorithm , leacky least mean square, fast block least mean square, recursive least square and least mean square for acoustic echo cancellation which are implemented in MATLAB .
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The main objective of cancellation of acoustic echo is better communication and providing an echo free environment. This book is designed to meet the advanced approach of various echo cancellation techniques used in signal processing. It contains the details of the adaptive algorithms like normalized least mean square, affine projection algorithm , leacky least mean square, fast block least mean square, recursive least square and least mean square for acoustic echo cancellation which are implemented in MATLAB .
Dr. Anil Kumar Shukla is presently working as Assistant Professor in Amity Institute of Telecom Engineering and Management at Amity University, India. His areas of research interest includes Analog & Digital Signal Processing, Analog Integrated Circuits, VLSI Design and Embedded System Design. He has 14 years of experience of Teaching and Research.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of cancellation of acoustic echo is better communication and providing an echo free environment. This book is designed to meet the advanced approach of various echo cancellation techniques used in signal processing. It contains the details of the adaptive algorithms like normalized least mean square, affine projection algorithm , leacky least mean square, fast block least mean square, recursive least square and least mean square for acoustic echo cancellation which are implemented in MATLAB . 60 pp. Englisch. N° de réf. du vendeur 9783659614125
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shukla Anil KumarDr. Anil Kumar Shukla is presently working as Assistant Professor in Amity Institute of Telecom Engineering and Management at Amity University, India. His areas of research interest includes Analog & Digital Signal P. N° de réf. du vendeur 5168434
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main objective of cancellation of acoustic echo is better communication and providing an echo free environment. This book is designed to meet the advanced approach of various echo cancellation techniques used in signal processing. It contains the details of the adaptive algorithms like normalized least mean square, affine projection algorithm , leacky least mean square, fast block least mean square, recursive least square and least mean square for acoustic echo cancellation which are implemented in MATLAB .Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. N° de réf. du vendeur 9783659614125
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of cancellation of acoustic echo is better communication and providing an echo free environment. This book is designed to meet the advanced approach of various echo cancellation techniques used in signal processing. It contains the details of the adaptive algorithms like normalized least mean square, affine projection algorithm , leacky least mean square, fast block least mean square, recursive least square and least mean square for acoustic echo cancellation which are implemented in MATLAB . N° de réf. du vendeur 9783659614125
Quantité disponible : 1 disponible(s)