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Content Provider | IEEE Xplore Digital Library |
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Author | Abadi, M.S.E. Shafiee, M.S. |
Copyright Year | 2013 |
Description | Author affiliation: Fac. of Electr. & Comput. Eng., Shahid Rajaee Teacher Training Univ., Tehran, Iran (Abadi, M.S.E.; Shafiee, M.S.) |
Abstract | This paper presents a new variable step-size normalized subband adaptive filter (VSS-NSAF) algorithm with dynamic selection (DS) of subband filters. The selection strategy is performed to achieve the largest decrease between the successive mean square deviations at every iteration. The proposed VSS-DS-NSAF has fast convergence speed and low steady-state mean square error (MSE). Also due to DS feature, the VSS-DS-NSAF has lower computational complexity than VSS-NSAF. We demonstrate the good performance of the proposed algorithm through several simulations in system identification scenario. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 979695 |
Page Count | 5 |
File Format | |
ISBN | 9781467356343 |
DOI | 10.1109/IranianCEE.2013.6599719 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-05-14 |
Publisher Place | Iran |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Variable step-size (VSS) Heuristic algorithms Signal processing algorithms Vectors Steady-state Adaptive filter Dynamic selection (DS) Indexes Computational complexity Normalized subband adaptive filter (NSAF) Convergence |
Content Type | Text |
Resource Type | Article |
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