Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing to Nonlinear Hydrodynamics Research
Volterra series representations of weakly nonlinear systems have been utilized in studies of both nonlinear hydrodynamics and nonlinear system identification. In the Volterra approach, the linear and nonlinear features of the system are described by the so-called linear, quadratic, cubic, etc., Volt...
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description | Volterra series representations of weakly nonlinear systems have been utilized in studies of both nonlinear hydrodynamics and nonlinear system identification. In the Volterra approach, the linear and nonlinear features of the system are described by the so-called linear, quadratic, cubic, etc., Volterra kernels. In the time domain these kernels correspond to the linear, quadratic, cubic, etc., impulse responses of the system, whereas, in the frequency domain they correspond to the linear, quadratic, cubic, etc., transfer functions. Of particular practical importance is the fact that the linear and nonlinear physics of the physical system is imbedded in the kernels, thus their experimental determination is often of the utmost importance in nonlinear hydrodynamics in particular, and nonlinear system identification, in general. |
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In the Volterra approach, the linear and nonlinear features of the system are described by the so-called linear, quadratic, cubic, etc., Volterra kernels. In the time domain these kernels correspond to the linear, quadratic, cubic, etc., impulse responses of the system, whereas, in the frequency domain they correspond to the linear, quadratic, cubic, etc., transfer functions. Of particular practical importance is the fact that the linear and nonlinear physics of the physical system is imbedded in the kernels, thus their experimental determination is often of the utmost importance in nonlinear hydrodynamics in particular, and nonlinear system identification, in general.</description><language>eng</language><subject>HYDRODYNAMICS ; KERNEL FUNCTIONS ; Marine Engineering ; NONLINEAR FILTERING ; SEA STATES ; SEAKEEPING ; TIME DOMAIN ; VOLTERRA EQUATIONS ; WATER WAVES</subject><creationdate>1992</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA252524$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Powers, Edward J</creatorcontrib><creatorcontrib>Miksad, Richard W</creatorcontrib><creatorcontrib>TEXAS UNIV AT AUSTIN</creatorcontrib><title>Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing to Nonlinear Hydrodynamics Research</title><description>Volterra series representations of weakly nonlinear systems have been utilized in studies of both nonlinear hydrodynamics and nonlinear system identification. In the Volterra approach, the linear and nonlinear features of the system are described by the so-called linear, quadratic, cubic, etc., Volterra kernels. In the time domain these kernels correspond to the linear, quadratic, cubic, etc., impulse responses of the system, whereas, in the frequency domain they correspond to the linear, quadratic, cubic, etc., transfer functions. Of particular practical importance is the fact that the linear and nonlinear physics of the physical system is imbedded in the kernels, thus their experimental determination is often of the utmost importance in nonlinear hydrodynamics in particular, and nonlinear system identification, in general.</description><subject>HYDRODYNAMICS</subject><subject>KERNEL FUNCTIONS</subject><subject>Marine Engineering</subject><subject>NONLINEAR FILTERING</subject><subject>SEA STATES</subject><subject>SEAKEEPING</subject><subject>TIME DOMAIN</subject><subject>VOLTERRA EQUATIONS</subject><subject>WATER WAVES</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1992</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNqFiz0KwkAQhdNYiHoDi7mAjT8HCMaQSkQFyzDuTpKBzWzc2Qi5vVtY2MkrPnjfe_NsyIfBscHIXhR8A2Wg10hiJkCx8MA3ydg_KcDZi2MhDFBwyxEd3LiVhEvwhlRZWoj-Z1ZNNng7CfZsFK6kqTTdMps16JRWXy6ydXm6H6uNjWxqjekb67zIt4eU_e6P_gDMykCr</recordid><startdate>19920130</startdate><enddate>19920130</enddate><creator>Powers, Edward J</creator><creator>Miksad, Richard W</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19920130</creationdate><title>Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing to Nonlinear Hydrodynamics Research</title><author>Powers, Edward J ; Miksad, Richard W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA2525243</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1992</creationdate><topic>HYDRODYNAMICS</topic><topic>KERNEL FUNCTIONS</topic><topic>Marine Engineering</topic><topic>NONLINEAR FILTERING</topic><topic>SEA STATES</topic><topic>SEAKEEPING</topic><topic>TIME DOMAIN</topic><topic>VOLTERRA EQUATIONS</topic><topic>WATER WAVES</topic><toplevel>online_resources</toplevel><creatorcontrib>Powers, Edward J</creatorcontrib><creatorcontrib>Miksad, Richard W</creatorcontrib><creatorcontrib>TEXAS UNIV AT AUSTIN</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Powers, Edward J</au><au>Miksad, Richard W</au><aucorp>TEXAS UNIV AT AUSTIN</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing to Nonlinear Hydrodynamics Research</btitle><date>1992-01-30</date><risdate>1992</risdate><abstract>Volterra series representations of weakly nonlinear systems have been utilized in studies of both nonlinear hydrodynamics and nonlinear system identification. In the Volterra approach, the linear and nonlinear features of the system are described by the so-called linear, quadratic, cubic, etc., Volterra kernels. In the time domain these kernels correspond to the linear, quadratic, cubic, etc., impulse responses of the system, whereas, in the frequency domain they correspond to the linear, quadratic, cubic, etc., transfer functions. Of particular practical importance is the fact that the linear and nonlinear physics of the physical system is imbedded in the kernels, thus their experimental determination is often of the utmost importance in nonlinear hydrodynamics in particular, and nonlinear system identification, in general.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | HYDRODYNAMICS KERNEL FUNCTIONS Marine Engineering NONLINEAR FILTERING SEA STATES SEAKEEPING TIME DOMAIN VOLTERRA EQUATIONS WATER WAVES |
title | Applications of Frequency and Wavenumber Nonlinear Digital Signal Processing to Nonlinear Hydrodynamics Research |
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