TY - JOUR
T1 - A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes
AU - Yu, Yi
AU - Zhao, Haiquan
AU - Chen, Badong
N1 - Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Proposed is a novel variable step size normalized subband adaptive filter algorithm, which assigns an individual step size for each subband by minimizing the mean square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free priori subband error from the noisy subband error signal. Simulation results using the colored input signals have demonstrated that the proposed algorithm not only has better tracking capability than the existing subband adaptive filter algorithms, but also exhibits lower steady-state error.
AB - Proposed is a novel variable step size normalized subband adaptive filter algorithm, which assigns an individual step size for each subband by minimizing the mean square of the noise-free a posterior subband error. Furthermore, a noniterative shrinkage method is used to recover the noise-free priori subband error from the noisy subband error signal. Simulation results using the colored input signals have demonstrated that the proposed algorithm not only has better tracking capability than the existing subband adaptive filter algorithms, but also exhibits lower steady-state error.
KW - Colored input signal
KW - Noniterative shrinkage method
KW - Normalized subband adaptive filter
KW - Variable step size
UR - https://www.scopus.com/pages/publications/84959275768
U2 - 10.1007/s00034-015-0112-7
DO - 10.1007/s00034-015-0112-7
M3 - 文章
AN - SCOPUS:84959275768
SN - 0278-081X
VL - 35
SP - 1407
EP - 1418
JO - Circuits, Systems, and Signal Processing
JF - Circuits, Systems, and Signal Processing
IS - 4
ER -