| Paper: | AE-P2.8 | ||
| Session: | Echo Cancellation and Active Noise Control | ||
| Time: | Wednesday, May 19, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Audio and Electroacoustics: Echo Cancellation | ||
| Title: | A SOLUTION SPACE PRINCIPLE COMPONENT BASED ADAPTIVE FILTER | ||
| Authors: | Steven Grant; MIT Lincoln Laboratory | ||
| Abstract: | This paper introduces a new type of adaptive filter called PCP, principle component proportionate normalized least mean squares. It is an extension of PNLMS (proportionate normalized least mean squares), an adaptive filter that has been shown to provide exceptionally fast convergence and tracking when the underlying system parameters are sparse (as in network echo cancellation). PCP extends the application of PNLMS to certain non-sparse systems by applying it while using the principle components of the underlying system as basis vectors. Room acoustic echo systems are possible examples of such non-sparse systems. Simulations of acoustic echo paths and cancellers indicate that PCP converges and tracks much faster than the classical normalized least mean squares (NLMS) and fast recursive least squares (FRLS) adaptive filters. | ||
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