Filters for linear sea-wave prediction
Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods...
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Veröffentlicht in: | Ocean engineering 2006-12, Vol.33 (17), p.2332-2351 |
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description | Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data. |
doi_str_mv | 10.1016/j.oceaneng.2005.11.011 |
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The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data.</description><identifier>ISSN: 0029-8018</identifier><identifier>EISSN: 1873-5258</identifier><identifier>DOI: 10.1016/j.oceaneng.2005.11.011</identifier><identifier>CODEN: OCENBQ</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Deterministic seaways prediction ; Dynamics of the ocean (upper and deep oceans) ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Marine ; Physics of the oceans ; Prediction filter</subject><ispartof>Ocean engineering, 2006-12, Vol.33 (17), p.2332-2351</ispartof><rights>2006 Elsevier Ltd</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-96bb227ec10a3fb849779f331e4fad738177365487b86940e636f7a9660f3af73</citedby><cites>FETCH-LOGICAL-c373t-96bb227ec10a3fb849779f331e4fad738177365487b86940e636f7a9660f3af73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.oceaneng.2005.11.011$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18238479$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Belmont, M.R.</creatorcontrib><creatorcontrib>Horwood, J.M.K.</creatorcontrib><creatorcontrib>Thurley, R.W.F.</creatorcontrib><creatorcontrib>Baker, J.</creatorcontrib><title>Filters for linear sea-wave prediction</title><title>Ocean engineering</title><description>Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data.</description><subject>Deterministic seaways prediction</subject><subject>Dynamics of the ocean (upper and deep oceans)</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Marine</subject><subject>Physics of the oceans</subject><subject>Prediction filter</subject><issn>0029-8018</issn><issn>1873-5258</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkMFOwzAQRC0EEqXwCygXuCV4s4nt3EAVBaRKXOBsOe4auUqTYqdF_D0uFHHktJeZnZnH2CXwAjiIm1UxWDI99W9FyXldABQc4IhNQEnM67JWx2zCednkioM6ZWcxrjjnQnCcsOu570YKMXNDyDrfkwlZJJN_mB1lm0BLb0c_9OfsxJku0sXhTtnr_P5l9pgvnh-eZneL3KLEMW9E25alJAvcoGtV1UjZOESgypmlRAVSoqgrJVslmoqTQOGkaVIXh8ZJnKZC3383YXjfUhz12kdLXZf2DduooUFEyTEJxY_QhiHGQE5vgl-b8KmB6z0WvdK_WPQeiwbQCUsyXh0STLSmc8H01sc_typRVbJJutsfHaW5O09BR-upt4lIIDvq5eD_i_oCxM95qA</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>Belmont, M.R.</creator><creator>Horwood, J.M.K.</creator><creator>Thurley, R.W.F.</creator><creator>Baker, J.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>20061201</creationdate><title>Filters for linear sea-wave prediction</title><author>Belmont, M.R. ; Horwood, J.M.K. ; Thurley, R.W.F. ; Baker, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-96bb227ec10a3fb849779f331e4fad738177365487b86940e636f7a9660f3af73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Deterministic seaways prediction</topic><topic>Dynamics of the ocean (upper and deep oceans)</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Marine</topic><topic>Physics of the oceans</topic><topic>Prediction filter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belmont, M.R.</creatorcontrib><creatorcontrib>Horwood, J.M.K.</creatorcontrib><creatorcontrib>Thurley, R.W.F.</creatorcontrib><creatorcontrib>Baker, J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ocean engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belmont, M.R.</au><au>Horwood, J.M.K.</au><au>Thurley, R.W.F.</au><au>Baker, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Filters for linear sea-wave prediction</atitle><jtitle>Ocean engineering</jtitle><date>2006-12-01</date><risdate>2006</risdate><volume>33</volume><issue>17</issue><spage>2332</spage><epage>2351</epage><pages>2332-2351</pages><issn>0029-8018</issn><eissn>1873-5258</eissn><coden>OCENBQ</coden><abstract>Deterministic sea-wave prediction (DSWP) models are appearing in the literature designed for quiescent interval prediction in marine applications dominated by large swell seas. The approach has focused upon spectral methods which are straightforward and intuitively attractive. However, such methods have the disadvantage that while the sea is aperiodic in nature, the standard discrete spectral processing techniques force an absolutely periodic structure onto the resulting sea surface prediction models. As it is the shape of the sea surface that is important in such applications, particularly near the end of the domain which is important, the standard windowing techniques used in signal processing work to reduce leakage artifacts cannot be employed. This has necessitated the use of end matching methods that can be both inconvenient and may reduce the fraction of the time for which legitimate predictions are available. As a result, an investigation has been undertaken of the use of finite impulse response prediction filters to provide the necessary dispersive phase shifting required in DSWP systems. The present work examines the theoretical basis for such filters and explores their properties together with their application to both long and short crested swell seas. It is shown that wide band forms of such filters are only convergent in the sense of distributions having both infinite duration impulse responses and asymptotically divergent first derivatives. However, appropriate band limitation can produce useful finite impulse responses allowing implementation via standard discrete convolution methods. It is demonstrated that despite the prediction filters having a non-causal impulse response such filters can be used in practice due to a combination of the asymmetric nature of the impulse response and the fundamental nature of the prediction process. The findings are confirmed against actual sea-wave data.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.oceaneng.2005.11.011</doi><tpages>20</tpages></addata></record> |
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subjects | Deterministic seaways prediction Dynamics of the ocean (upper and deep oceans) Earth, ocean, space Exact sciences and technology External geophysics Marine Physics of the oceans Prediction filter |
title | Filters for linear sea-wave prediction |
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