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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haiquan Zhao Yi Yu Shibin Gao Xiangping Zeng Zhengyou He |
| Copyright Year | 2014 |
| Abstract | An individual-activation-factor memory proportionate affine projection algorithm (IAF-MPAPA) is proposed for sparse system identification in acoustic echo cancellation (AEC) scenarios. By utilizing an individual activation factor for each adaptive filter coefficient instead of a global activation factor, as in the standard proportionate affine projection algorithm (PAPA), the adaptation energy over the coefficients of the proposed IAF-MPAPA can achieve a better distribution, which leads to an improvement of the convergence performance. Moreover, benefiting from the memory characteristics of the proportionate coefficients, its computational complexity is less than the PAPA and improved PAPA (IPAPA). In the context of AEC and stereophonic AEC (SAEC) for highly sparse impulse responses, simulation results indicate that the proposed IAF-MPAPA outperforms the PAPA, IPAPA, and memory IPAPA (MIPAPA) in terms of the convergence rate and tracking capability when the unknown impulse response suddenly changes. |
| Starting Page | 1047 |
| Ending Page | 1055 |
| Page Count | 9 |
| File Size | 2491287 |
| File Format | |
| ISSN | 23299290 |
| Volume Number | 22 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive filters Echo cancellers Convergence Vectors Computational complexity Speech sparse system identification Adaptive filtering individual activation factor proportionate affine projection algorithm sparse impulse response |
| Content Type | Text |
| Resource Type | Article |
| Subject | Acoustics and Ultrasonics Signal Processing Instrumentation Speech and Hearing Electrical and Electronic Engineering Computational Mathematics Media Technology |
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