Abstract
In this paper, we present two important contributions. The first is demonstration of the use of subliminal levels of pseudo-random noise to enhance channel estimation, and the second is a joint time and frequency domain algorithm for multichannel inversion. An adaptive system is presented where the acoustic channel is accurately estimated and utilized. In this implementation, maximum length sequences in the form of pseudo-random noise are superimposed on the source signals to aid the estimation quality of the acoustic channels. Upon estimation, crosstalk cancellation filters are designed using a time and frequency domain technique which uses a window to achieve more efficient and effective cancellation of crosstalk. For a 3×2 crosstalk system, the presented results show the improvement in channel estimation quality when low levels of maximum length sequences are superimposed on the source signals. On average -25dB of crosstalk cancellation is achieved.
Original language | English |
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Title of host publication | 2014 IEEE Workshop on Statistical Signal Processing (SSP) |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 488-491 |
Number of pages | 4 |
ISBN (Print) | 978-1-4799-4975-5 |
DOIs | |
Publication status | Published - 2014 Jun 29 |
Externally published | Yes |
Event | 2014 IEEE International Workshop on Statistical Signal Processing - Gold Coast, Australia Duration: 2014 Jun 29 → 2014 Jul 2 |
Workshop
Workshop | 2014 IEEE International Workshop on Statistical Signal Processing |
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Abbreviated title | SSP |
Country/Territory | Australia |
City | Gold Coast |
Period | 2014/06/29 → 2014/07/02 |
Subject classification (UKÄ)
- Communication Systems
Free keywords
- Channel estimation
- Crosstalk cancellation
- Personal audio systems