Gain allocation in proportionate-type NLMS algorithms for fast decay of output error at all times.

Kevin T. Wagner Milos Doroslovacki

Published in: ICASSP (2009)

Keyphrases

orders of magnitude
significant improvement
neural network
data sets
learning algorithm
computational complexity
computationally efficient
machine learning algorithms
error bounds
machine learning
input data
times faster
adaptive algorithms