Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations

This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system in order to solve the non...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Helwani, Karim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:T-Labs Series in Telecommunication Services,
Temas:
Signal processing.
Computer input-output equipment.
Telecommunication.
Acoustics.
Signal, Speech and Image Processing .
Input/Output and Data Communications.
Communications Engineering, Networks.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-08954-6
003 DE-He213
005 20220119015709.0
007 cr nn 008mamaa
008 140725s2015 sz | s |||| 0|eng d
020 |a 9783319089546  |9 978-3-319-08954-6 
024 7 |a 10.1007/978-3-319-08954-6  |2 doi 
050 4 |a TK5102.9 
072 7 |a TJF  |2 bicssc 
072 7 |a UYS  |2 bicssc 
072 7 |a TEC008000  |2 bisacsh 
072 7 |a TJF  |2 thema 
072 7 |a UYS  |2 thema 
082 0 4 |a 621.382  |2 23 
100 1 |a Helwani, Karim.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations  |h [electronic resource] /  |c by Karim Helwani. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XIV, 113 p. 39 illus., 10 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a T-Labs Series in Telecommunication Services,  |x 2192-2829 
505 0 |a Introduction -- Fundamentals of Adaptive Filter Theory -- Spatio-Temporal Regularized Recursive Least Squares Algorithm -- Sparse Representation of Multichannel Acoustic Systems -- Unique System Identification from Projections -- Geometrical Constraints -- Acoustic Echo Suppression -- Conclusion. 
520 |a This book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system in order to solve the non-uniqueness problem with an efficient algorithm for adaptive filtering that does not require any modification of the loudspeaker signals. The book discusses in detail the derivation of general sparse representations of acoustic MIMO systems in signal or system dependent transform domains. Efficient adaptive filtering algorithms in the transform domains are presented and the relation between the signal- and the system-based sparse representations is emphasized. Furthermore, the book presents a novel approach to spatially preprocess the loudspeaker signals in a full-duplex communication system. The idea of the preprocessing is to prevent the echoes from being captured by the microphone array in order to support the AEC system. The preprocessing stage is given as an exemplarily application of a novel unified framework for the synthesis of sound figures. Finally, a multichannel system for the acoustic echo suppression is presented that can be used as a postprocessing stage for removing residual echoes. As first of its kind, it extracts the near-end signal from the microphone signal with a distortionless constraint and without requiring a double-talk detector. 
650 0 |a Signal processing. 
650 0 |a Computer input-output equipment. 
650 0 |a Telecommunication. 
650 0 |a Acoustics. 
650 1 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Input/Output and Data Communications. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Acoustics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319089553 
776 0 8 |i Printed edition:  |z 9783319089539 
776 0 8 |i Printed edition:  |z 9783319362878 
830 0 |a T-Labs Series in Telecommunication Services,  |x 2192-2829 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-08954-6  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

Ejemplares similares