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Higher-Order Properties of Analytic Wavelets
The influence of higher-order wavelet properties on the analytic wavelet transform behavior is investigated, and wavelet functions offering advantageous performance are identified. This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactl...
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Published in: | IEEE transactions on signal processing 2009-01, Vol.57 (1), p.146-160 |
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Language: | English |
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container_title | IEEE transactions on signal processing |
container_volume | 57 |
creator | Lilly, J.M. Olhede, S.C. |
description | The influence of higher-order wavelet properties on the analytic wavelet transform behavior is investigated, and wavelet functions offering advantageous performance are identified. This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactly analytic continuous wavelets. The degree of time/frequency localization, the existence of a mapping between scale and frequency, and the bias involved in estimating properties of modulated oscillatory signals, are proposed as important considerations. Wavelet behavior is found to be strongly impacted by the degree of asymmetry of the wavelet in both the frequency and the time domain, as quantified by the third central moments. A particular subset of the generalized Morse wavelets, recognized as deriving from an inhomogeneous Airy function, emerge as having particularly desirable properties. These ldquoAiry waveletsrdquo substantially outperform the only approximately analytic Morlet wavelets for high time localization. Special cases of the generalized Morse wavelets are examined, revealing a broad range of behaviors which can be matched to the characteristics of a signal. |
doi_str_mv | 10.1109/TSP.2008.2007607 |
format | article |
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This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactly analytic continuous wavelets. The degree of time/frequency localization, the existence of a mapping between scale and frequency, and the bias involved in estimating properties of modulated oscillatory signals, are proposed as important considerations. Wavelet behavior is found to be strongly impacted by the degree of asymmetry of the wavelet in both the frequency and the time domain, as quantified by the third central moments. A particular subset of the generalized Morse wavelets, recognized as deriving from an inhomogeneous Airy function, emerge as having particularly desirable properties. These ldquoAiry waveletsrdquo substantially outperform the only approximately analytic Morlet wavelets for high time localization. Special cases of the generalized Morse wavelets are examined, revealing a broad range of behaviors which can be matched to the characteristics of a signal.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2008.2007607</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Amplitude estimation ; Amplitude modulation ; Applied sciences ; Asymmetry ; Behavior ; Continuous wavelet transforms ; Earth ; Exact sciences and technology ; Frequency estimation ; Hilbert transform ; Information, signal and communications theory ; instantaneous frequency ; Localization ; Mathematical analysis ; Miscellaneous ; Morlet wavelet ; Position (location) ; ridge analysis ; Signal analysis ; Signal processing ; Studies ; Telecommunications and information theory ; time-frequency analysis ; Wavelet ; Wavelet analysis ; Wavelet domain ; wavelet transform ; Wavelet transforms</subject><ispartof>IEEE transactions on signal processing, 2009-01, Vol.57 (1), p.146-160</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-577cad0e8127fad4f7364577ef6437624f1fcf8cd0d8f62d31ec90116f4d46353</citedby><cites>FETCH-LOGICAL-c431t-577cad0e8127fad4f7364577ef6437624f1fcf8cd0d8f62d31ec90116f4d46353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4663912$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,4024,27923,27924,27925,54796</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21020788$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lilly, J.M.</creatorcontrib><creatorcontrib>Olhede, S.C.</creatorcontrib><title>Higher-Order Properties of Analytic Wavelets</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>The influence of higher-order wavelet properties on the analytic wavelet transform behavior is investigated, and wavelet functions offering advantageous performance are identified. This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactly analytic continuous wavelets. The degree of time/frequency localization, the existence of a mapping between scale and frequency, and the bias involved in estimating properties of modulated oscillatory signals, are proposed as important considerations. Wavelet behavior is found to be strongly impacted by the degree of asymmetry of the wavelet in both the frequency and the time domain, as quantified by the third central moments. A particular subset of the generalized Morse wavelets, recognized as deriving from an inhomogeneous Airy function, emerge as having particularly desirable properties. These ldquoAiry waveletsrdquo substantially outperform the only approximately analytic Morlet wavelets for high time localization. Special cases of the generalized Morse wavelets are examined, revealing a broad range of behaviors which can be matched to the characteristics of a signal.</description><subject>Amplitude estimation</subject><subject>Amplitude modulation</subject><subject>Applied sciences</subject><subject>Asymmetry</subject><subject>Behavior</subject><subject>Continuous wavelet transforms</subject><subject>Earth</subject><subject>Exact sciences and technology</subject><subject>Frequency estimation</subject><subject>Hilbert transform</subject><subject>Information, signal and communications theory</subject><subject>instantaneous frequency</subject><subject>Localization</subject><subject>Mathematical analysis</subject><subject>Miscellaneous</subject><subject>Morlet wavelet</subject><subject>Position (location)</subject><subject>ridge analysis</subject><subject>Signal analysis</subject><subject>Signal processing</subject><subject>Studies</subject><subject>Telecommunications and information theory</subject><subject>time-frequency analysis</subject><subject>Wavelet</subject><subject>Wavelet analysis</subject><subject>Wavelet domain</subject><subject>wavelet transform</subject><subject>Wavelet transforms</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLAzEQhYMoWKt3wUsRFA9uzSTZJHssRa1QaMGK3kLITnTLtluTrdB_b0pLDx68zAwz33swj5BLoH0AWjzMXqd9RqneFiWpOiIdKARkVCh5nGaa8yzX6uOUnMU4pxSEKGSH3I-qzy8M2SSUGHrT0KwwtBXGXuN7g6WtN23leu_2B2ts4zk58baOeLHvXfL29DgbjrLx5PllOBhnTnBos1wpZ0uKGpjythRecSnSEr0UXEkmPHjntStpqb1kJQd0BQWQXpRC8px3ye3OdxWa7zXG1iyq6LCu7RKbdTRcaMVzxhJ49y8IUgGTLBdFQq__oPNmHdKH0WgJwEELniC6g1xoYgzozSpUCxs2BqjZxmxSzGYbs9nHnCQ3e18bna19sEtXxYOOAWVUaZ24qx1XIeLhLKTkBTD-C2r6gv0</recordid><startdate>200901</startdate><enddate>200901</enddate><creator>Lilly, J.M.</creator><creator>Olhede, S.C.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>200901</creationdate><title>Higher-Order Properties of Analytic Wavelets</title><author>Lilly, J.M. ; Olhede, S.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-577cad0e8127fad4f7364577ef6437624f1fcf8cd0d8f62d31ec90116f4d46353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Amplitude estimation</topic><topic>Amplitude modulation</topic><topic>Applied sciences</topic><topic>Asymmetry</topic><topic>Behavior</topic><topic>Continuous wavelet transforms</topic><topic>Earth</topic><topic>Exact sciences and technology</topic><topic>Frequency estimation</topic><topic>Hilbert transform</topic><topic>Information, signal and communications theory</topic><topic>instantaneous frequency</topic><topic>Localization</topic><topic>Mathematical analysis</topic><topic>Miscellaneous</topic><topic>Morlet wavelet</topic><topic>Position (location)</topic><topic>ridge analysis</topic><topic>Signal analysis</topic><topic>Signal processing</topic><topic>Studies</topic><topic>Telecommunications and information theory</topic><topic>time-frequency analysis</topic><topic>Wavelet</topic><topic>Wavelet analysis</topic><topic>Wavelet domain</topic><topic>wavelet transform</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lilly, J.M.</creatorcontrib><creatorcontrib>Olhede, S.C.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lilly, J.M.</au><au>Olhede, S.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Higher-Order Properties of Analytic Wavelets</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2009-01</date><risdate>2009</risdate><volume>57</volume><issue>1</issue><spage>146</spage><epage>160</epage><pages>146-160</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>The influence of higher-order wavelet properties on the analytic wavelet transform behavior is investigated, and wavelet functions offering advantageous performance are identified. This is accomplished through detailed investigation of the generalized Morse wavelets, a two-parameter family of exactly analytic continuous wavelets. The degree of time/frequency localization, the existence of a mapping between scale and frequency, and the bias involved in estimating properties of modulated oscillatory signals, are proposed as important considerations. Wavelet behavior is found to be strongly impacted by the degree of asymmetry of the wavelet in both the frequency and the time domain, as quantified by the third central moments. A particular subset of the generalized Morse wavelets, recognized as deriving from an inhomogeneous Airy function, emerge as having particularly desirable properties. These ldquoAiry waveletsrdquo substantially outperform the only approximately analytic Morlet wavelets for high time localization. Special cases of the generalized Morse wavelets are examined, revealing a broad range of behaviors which can be matched to the characteristics of a signal.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2008.2007607</doi><tpages>15</tpages></addata></record> |
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ispartof | IEEE transactions on signal processing, 2009-01, Vol.57 (1), p.146-160 |
issn | 1053-587X 1941-0476 |
language | eng |
recordid | cdi_ieee_primary_4663912 |
source | IEEE Xplore (Online service) |
subjects | Amplitude estimation Amplitude modulation Applied sciences Asymmetry Behavior Continuous wavelet transforms Earth Exact sciences and technology Frequency estimation Hilbert transform Information, signal and communications theory instantaneous frequency Localization Mathematical analysis Miscellaneous Morlet wavelet Position (location) ridge analysis Signal analysis Signal processing Studies Telecommunications and information theory time-frequency analysis Wavelet Wavelet analysis Wavelet domain wavelet transform Wavelet transforms |
title | Higher-Order Properties of Analytic Wavelets |
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