NDLI: Non-periodic-partial-update affine projection algorithm with data-selective updating

Content Provider	IEEE Xplore Digital Library
Author	NamWoong Kong JaeWook Shin SeokYoung Lee Ju-man Song Hyun-Tack Choi PooGyeon Park
Copyright Year	2013
Description	Author affiliation: Ocean Eng. Res. Dept., Korea Inst. of Ocean Sci. & Technol., Daejeon, South Korea (Hyun-Tack Choi) \|\| Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea (JaeWook Shin; PooGyeon Park) \|\| Div. of IT Convergence Engieering, Pohang Univ. of Sci. & Technol., Pohang, South Korea (SeokYoung Lee; Ju-man Song) \|\| POSCO, Pohang, South Korea (NamWoong Kong)
Abstract	This paper proposes a non-periodic-partial-update affine projection algorithm with data-selective updating. The proposed algorithm employs two update concepts: non-periodic partial update and data-selective update. The former plays a role in adjusting the length of the update period, and the latter in reducing computational complexity. Thus, the algorithm requires two key procedures of length assignment and state decision. The length assignment procedure determines the length of the update period by checking whether the current input vectors have enough information with an update period assignment criterion. The state decision procedure stochastically determines whether the adaptive filter has reached a steady state. When the current state of the adaptive filter is confirmed as a transient state by the decision procedure, the algorithm updates all filter coefficients with an update period assigned by the length assignment procedure. Through these two procedures, the proposed algorithm not only achieves good performance, especially for colored input signals, in terms of the convergence rate and steady-state estimation errors but also provides a substantial reduction in the number of updates.
Starting Page	152
Ending Page	156
File Size	743491
Page Count	5
File Format	PDF
e-ISBN	9781467363617
DOI	10.1109/ISPACS.2013.6704538
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steady-state Estimation error Vectors Convergence Computational complexity Signal to noise ratio
Content Type	Text
Resource Type	Article

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