A strategy for adjusting combination weights over adaptive networks

This work proposes a strategy to adjust the combination weights of an adaptive network in order to attain both faster convergence during the transient phase and lower mean-square-error during the steady-state phase. Optimal combination weights are designed for both phases, and a procedure for detecting the transition from one phase to the other is also described. Simulation results illustrate the operation of the proposed strategy.


Published in:
IEEE International Conference on Acoustics, Speech and Signal Processing, 4579-4583
Presented at:
International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, BC, Canada, May 26-31, 2013
Year:
2013
Publisher:
IEEE
Laboratories:




 Record created 2017-12-19, last modified 2018-09-13


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