Abstract
Many acoustic signal enhancement applications require adaptive filters with a long impulse response, but with a small number of filter parameters. Fixed-poles infinite impulse response (IIR) adaptive filters based on orthonormal basis functions (OBFs) present advantages over finite impulse response filters and other IIR filters, assuring stability and fast global convergence in the adaptation of the filter parameters. A scalable algorithm is introduced for the estimation of the poles of an adaptive OBF filter from multichannel input-output data. The set of poles, common to all the acoustic channels considered, is estimated in parallel to the adaptation of the linear filter parameters. It will be shown that the result of the identification with common poles is quite robust to variations in the room transfer function, suggesting the possibility that poles may be kept fixed after estimation.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 18 May 2016 |
Pages | 16-20 |
Article number | 7471628 |
ISBN (Electronic) | 9781479999880 |
DOIs | |
Publication status | Published - 18 May 2016 |
Event | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 |
Conference
Conference | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
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Country/Territory | China |
City | Shanghai |
Period | 20/03/2016 → 25/03/2016 |
Sponsor | The Institute of Electrical and Electronics Engineers Signal Processing Society |
Keywords
- adaptive filtering
- identification
- Orthonormal basis functions
- parametric modeling
- room acoustics