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Discrete wavelet transform based shift invariant analysis scheme for transient sound signals
Date
2010-09-06
Author
Wasim, Ahmad
Hacıhabiboğlu, Hüseyin
Kondoz, Ahmet
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Discrete wavelet transform (DWT) has gained widespread recognition and popularity in signal processing due to its ability to underline and represent time-varying spectral properties of many transient and other nonstationary signals. However, DWT is a shift-variant transform. This shift-variance is a major problem with the use of DWT for transient signal analysis and pattern recognition applications. A number of modified forms of DWT have been investigated in recent years that provide approximate shift-invariant transform but at the cost of increased redundancy and complexity. In this paper, a shift-invariant analysis scheme is proposed which is non-redundant. This scheme combines minimum-phase (MP) reconstruction with the DWT so that the resultant scheme provides a shift-invariant transform. The detailed properties of MP signal and different methods to reconstruct it are explained. The proposed scheme can be used for the analysis-synthesis, classification, and compression of transient sound signals.
Subject Keywords
Pattern recognition
,
Signal processing
URI
https://hdl.handle.net/11511/72012
https://www.scopus.com/record/display.uri?eid=2-s2.0-84872717993&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=5b5e6f9e726d7a554c0e75e9debd7281&sot=b&sdt=b&sl=108&s=TITLE-ABS-KEY+%28Discrete+wavelet+transform+based+shift+invariant+analysis+scheme+for+transient+sound+signals%29&relpos=0&citeCnt=1&searchTerm=
Conference Name
13th International Conference on Digital Audio Effects, DAFx 2010 Proceedings (6-10 September 2010)
Collections
Graduate School of Informatics, Conference / Seminar
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A. Wasim, H. Hacıhabiboğlu, and A. Kondoz, “Discrete wavelet transform based shift invariant analysis scheme for transient sound signals,” presented at the 13th International Conference on Digital Audio Effects, DAFx 2010 Proceedings (6-10 September 2010), Graz, Austria, 2010, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72012.