An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm

Awal, Md. Abdul and Boashash, Boualem (2017) An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm. Signal Processing, 131 134-142. doi:10.1016/j.sigpro.2016.08.017

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Author Awal, Md. Abdul
Boashash, Boualem
Title An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm
Journal name Signal Processing   Check publisher's open access policy
ISSN 0165-1684
1872-7557
Publication date 2017-02-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.sigpro.2016.08.017
Open Access Status File (Author Post-print)
Volume 131
Start page 134
End page 142
Total pages 9
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Subject 2207 Control and Systems Engineering
1712 Software
1711 Signal Processing
1707 Computer Vision and Pattern Recognition
2208 Electrical and Electronic Engineering
Abstract This paper presents a novel framework for a fully automatic optimization of Quadratic Time-frequency Distributions (QTFDs). This ‘black box’ approach automatically adjusts the QTFD kernel parameters by using a hybrid genetic algorithm (HGA). This results in an optimal use of QTFDs suitable for non-specialist users without requiring any additional input except for the signal itself. This optimization problem has been formulated as the minimization of the cost function of a modified energy concentration measure. The efficiency of the proposed method has been demonstrated by representing selected non-stationary signals in the time-frequency domain and testing robustness under different SNR conditions by estimating the instantaneous frequency. A fast implementation of QTFD optimization reduces computation time significantly; e.g., the computation time of a real world bat signal of 400 samples reduces to 3.5885±0.3942 s from its standard implementation (53.0910±1.445 s).
Keyword Energy concentration measure
Gradient descent
HGA
QTFD
Time-frequency optimization
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID NPRP 4-1303-2-517
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
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