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Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises.
Wentao Ma
Dongqiao Zheng
Xiangqian Tong
Zhiyu Zhang
Badong Chen
Published in:
IEEE Trans. Circuits Syst. II Express Briefs (2018)
Keyphrases
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desired output
input data
multiple output
input variables
input output
output space
hidden units
noise cancellation
high dimensional
sparse data
rbf network
feature selection
optimization criterion
multiple input
neural network
feedback loop
data sets
step size
edge detection