Abstract
A NLMS (normalized LMS) adaptive algorithm is proposed for an acoustic echo canceller with double the convergence speed of but the same computational load as the conventional NLMS. This algorithm, called the ES (exponential step) algorithm, implements a different value of step gain (feedback factor) for each tap coefficient of a canceller. These step gains are weighted exponentially along the series by the same exponential ratio as the expected variation in a room impulse response. This algorithm is implemented in a commercial subband echo canceller, and its superiority to the conventional algorithm is demonstrated.
Original language | English |
---|---|
Pages (from-to) | 1133-1136 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 2 |
Publication status | Published - 1990 |
Externally published | Yes |
Event | 1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA Duration: 1990 Apr 3 → 1990 Apr 6 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering