Title
Dynamic resource allocation for network echo cancellation
Abstract
Network echo canceler chips are designed to handle several channels simultaneously. With the processing speeds now available, a single chip might handle several hundred channels. In current implementations, however, the adaptation algorithm is designed for a single channel, and the computations are replicated N/sub c/ times, where N/sub c/ is the number of channels. With such an implementation, the computational requirement is N/sub c/ times the peak load for a single channel. The number of computations required in each channel, however, varies widely over time. Therefore, a considerable reduction in computational load can be achieved by designing the system for the average load plus a margin to account for load variations. The reduction in complexity is achieved by exploiting three features: (a) the inherent pauses in conversations; (b) the sparseness of network echo paths; and (c) the fact that an adaptive filter does not need to be updated when the error signal is small. It is shown that, in principle, such a design can reduce the computational load by a very large factor - perhaps as large as thirty. It remains to be seen whether a customized hardware architecture can be implemented to take advantage fully of the proposed algorithm.
Year
DOI
Venue
2001
10.1109/ICASSP.2001.940347
ICASSP '01). 2001 IEEE International Conference
Keywords
Field
DocType
adaptive filters,adaptive signal processing,digital signal processing chips,echo suppression,speech processing,telephony,adaptation algorithm,adaptive filter,average load,channel,computational load reduction,conversation pauses,dynamic resource allocation,load variation margin,network echo canceler chips,network echo cancellation,network echo path sparseness
Speech processing,Mathematical optimization,Computer science,Communication channel,Real-time computing,Chip,Resource allocation,Adaptive filter,Telephony,Computer engineering,Hardware architecture,Computation
Conference
Volume
ISSN
ISBN
5
1520-6149
0-7803-7041-4
Citations 
PageRank 
References 
6
0.67
2
Authors
4
Name
Order
Citations
PageRank
Tomas Gänsler11019.60
Jacob Benesty21941146.01
M. M. Sondhi334729.43
S. L. Gay412918.00