A Multi-Sampled Multiband-Structured Subband Filtering Algorithm

A multi-sampled multiband-structured sub-band adaptive filtering (MS-MSAF) algorithm is proposed in this paper. The key feature of the proposed algorithm lies in the expansion of the sub-sampled number to a common value. The properties of mean stability and mean-square deviation of the MS-MSAF algorithm are analyzed in the original time domain, and the theoretical analysis also leads to a way to accelerate the convergence speed of the proposed MS-MSAF algorithm. The obtained theoretical results are verified through computer simulations.

[1]  Xiaoping Chen,et al.  Steady-state mean-square error analysis of regularized normalized subband adaptive filters , 2013, Signal Process..

[2]  V. U. Reddy,et al.  A new approach to subband adaptive filtering , 1999, IEEE Trans. Signal Process..

[3]  Simon Haykin,et al.  Adaptive Filter Theory 4th Edition , 2002 .

[4]  Pierre Duhamel,et al.  Adaptive filtering in subbands using a weighted criterion , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[5]  Feng Li,et al.  A Variable Step-Size Matrix Normalized Subband Adaptive Filter , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Junwoong Hur,et al.  A Variable Step-Size Normalized Subband Adaptive Filter With a Step-Size Scaler Against Impulsive Measurement Noise , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[7]  A. Gilloire,et al.  Experiments with sub-band acoustic echo cancellers for teleconferencing , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  W.S. Gan,et al.  Inherent Decorrelating and Least Perturbation Properties of the Normalized Subband Adaptive Filter , 2006, IEEE Transactions on Signal Processing.

[9]  Yi Yu,et al.  Performance analysis of the deficient length NSAF algorithm and a variable step size method for improving its performance , 2017, Digit. Signal Process..

[10]  Jun Yang,et al.  Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm , 2015, IET Signal Process..

[11]  Juan Shi,et al.  Diffusion Sign Subband Adaptive Filtering Algorithm with Enlarged Cooperation and Its Variant , 2017, Circuits Syst. Signal Process..

[12]  Woon-Seng Gan,et al.  Subband Adaptive Filtering: Theory and Implementation , 2009 .

[13]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[14]  Wei Xing Zheng,et al.  A new combined-step-size normalized least mean square algorithm for cyclostationary inputs , 2017, Signal Process..

[15]  Seung Hun Kim,et al.  Mean-Square Deviation Analysis of Multiband-Structured Subband Adaptive Filter Algorithm , 2016, IEEE Transactions on Signal Processing.

[16]  Kong-Aik Lee,et al.  Improving convergence of the NLMS algorithm using constrained subband updates , 2004, IEEE Signal Processing Letters.

[17]  Martin Vetterli,et al.  Adaptive filtering in sub-bands , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[18]  Walter Kellermann,et al.  Analysis and design of multirate systems for cancellation of acoustical echoes , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.