Adaptive algorithm for ternary filtering

Hussain, Zahir, O'Shea, Peter, & Sadik, A (2006) Adaptive algorithm for ternary filtering. Electronics Letters, 42(7), pp. 1-2.

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Despite their major advantage of hardware simplicity, ternary filters have limited usability in practice owing to their unresolved problem of adaptivity. This challenging problem is tackled by introducing an adaptive ternary LMS-like algorithm. Performance assessment using a sinusoidal input distorted by additive white Gaussian noise showed that the proposed algorithm is comparable to the traditional multi-bit Wiener LMS algorithm. This approach is expected to open the door for ternary systems to be ready for replacing multi-bit signal processing systems.

Impact and interest:

10 citations in Scopus
2 citations in Web of Science®
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ID Code: 21889
Item Type: Journal Article
Refereed: Yes
Keywords: Adaptive Ternary Algorithm
DOI: 10.1049/el:20064257
ISSN: 0013-5194
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Deposited On: 17 Jun 2009 12:59
Last Modified: 29 Feb 2012 13:21

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