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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...
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| Lenguaje: | eng |
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Springer
2014
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-08954-6 http://cds.cern.ch/record/1967899 |
| _version_ | 1780944620818006016 |
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| author | Helwani, Karim |
| author_facet | Helwani, Karim |
| author_sort | Helwani, Karim |
| collection | CERN |
| description | 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 a |
| id | cern-1967899 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-19678992021-04-21T20:50:56Zdoi:10.1007/978-3-319-08954-6http://cds.cern.ch/record/1967899engHelwani, KarimAdaptive identification of acoustic multichannel systems using sparse representationsEngineeringThis 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 aSpringeroai:cds.cern.ch:19678992014 |
| spellingShingle | Engineering Helwani, Karim Adaptive identification of acoustic multichannel systems using sparse representations |
| title | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_full | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_fullStr | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_full_unstemmed | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_short | Adaptive identification of acoustic multichannel systems using sparse representations |
| title_sort | adaptive identification of acoustic multichannel systems using sparse representations |
| topic | Engineering |
| url | https://dx.doi.org/10.1007/978-3-319-08954-6 http://cds.cern.ch/record/1967899 |
| work_keys_str_mv | AT helwanikarim adaptiveidentificationofacousticmultichannelsystemsusingsparserepresentations |