DocumentCode :
53103
Title :
About QLMS Derivations
Author :
Barthelemy, Quentin ; Larue, A. ; Mars, Jerome I.
Author_Institution :
Data Anal. Tools Lab., CEA, Gif-sur-Yvette, France
Volume :
21
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
240
Lastpage :
243
Abstract :
In this letter, a review of the quaternionic least mean squares (QLMS) algorithm is proposed. Three versions coming from three derivation ways exist: the original QLMS [1] based on componentwise gradients, HR-QLMS [2] based on a quaternion gradient operator and iQLMS [3] based on an involutions-gradient. Noting and investigating the differences between the three QLMS formulations, we show that the original QLMS suffers from a mistake in the derivation calculus. Thus, we propose to derive rigorously the criterion following the first way, giving the correct version of QLMS. A comparison with the other QLMS versions validates these results on simulated data.
Keywords :
gradient methods; least mean squares methods; signal processing; HR-QLMS; componentwise gradients; derivation calculus; iQLMS; involutions-gradient; quaternion gradient operator; quaternionic least mean squares algorithm; signal processing; Calculus; Least squares approximations; Mars; Quaternions; Signal processing; Signal processing algorithms; Vectors; Adaptive filtering; QLMS; quaternionic signal processing;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2299066
Filename :
6705599
Link To Document :
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