Signal Adaptive Q Factor Selection for Resonance Based Signal Separation Using Tunable-Q Wavelet Transform
| dc.contributor.author | Nalan Ǒzkurt | |
| dc.contributor.editor | N. Herencsar | |
| dc.date.accessioned | 2025-10-06T17:51:36Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Tunable Q wavelet transform (TQWT) was recently proposed as an efficient wavelet decomposition method which can match to the oscillatory behaviour of the signal. The selection of Q-factor is an important issue in obtaining a sparser signal representation by TQWT. Morphological component analysis (MCA) is a signal separation method which uses the tuning property of TQWT by selecting a low and a high Q-factor matches the signal components. However the Q-factors are usually chosen experimentally or using the prior information. Thus in this study a signal adaptive Q-factor selection method which can be used with TQWT based analysis was proposed. The performance of the proposed algorithm is illustrated with two examples using MCA signal separation. © 2018 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.1109/TSP.2018.8441404 | |
| dc.identifier.isbn | 9781538646953 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053509978&doi=10.1109%2FTSP.2018.8441404&partnerID=40&md5=a325ef0e8a6dbac40b399b9cd79ccc65 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/9535 | |
| dc.language.iso | English | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 41st International Conference on Telecommunications and Signal Processing TSP 2018 | |
| dc.subject | Morphological Component Analysis, Tunable-q Wavelet Transform, Wavelet Energy-entropy Ratio, Factor Analysis, Separation, Signal Processing, Wavelet Decomposition, Morphological Component Analysis, Morphological Component Analysis (mca), Prior Information, Signal Components, Signal Representations, Signal Separation, Tuning Properties, Wavelet Energy, Q Factor Measurement | |
| dc.subject | Factor analysis, Separation, Signal processing, Wavelet decomposition, Morphological component analysis, Morphological component analysis (MCA), Prior information, Signal components, Signal representations, Signal separation, Tuning properties, Wavelet energy, Q factor measurement | |
| dc.title | Signal Adaptive Q Factor Selection for Resonance Based Signal Separation Using Tunable-Q Wavelet Transform | |
| dc.type | Conference Object | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| person.identifier.scopus-author-id | Ǒzkurt- Nalan (8546186400) | |
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