Stability of linear predictors and numerical range of a linear operator (Corresp.)
The zeros of a predictor polynomial are shown to belong to the numerical range of a linear operator associated with the particular prediction problem considered. Application of this result to the autocorrelation and postwindowed cases shows that the predictor polynomials enjoy a well-defined stabili...
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Veröffentlicht in: | IEEE transactions on information theory 1987-05, Vol.33 (3), p.412-415 |
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container_title | IEEE transactions on information theory |
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creator | Delsarte, P. Genin, Y. Kamp, Y. |
description | The zeros of a predictor polynomial are shown to belong to the numerical range of a linear operator associated with the particular prediction problem considered. Application of this result to the autocorrelation and postwindowed cases shows that the predictor polynomials enjoy a well-defined stability margin which depends in particular on the length of the data sequence. The generalization of these results to the multichannel case is also discussed. |
doi_str_mv | 10.1109/TIT.1987.1057310 |
format | Article |
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Application of this result to the autocorrelation and postwindowed cases shows that the predictor polynomials enjoy a well-defined stability margin which depends in particular on the length of the data sequence. 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Application of this result to the autocorrelation and postwindowed cases shows that the predictor polynomials enjoy a well-defined stability margin which depends in particular on the length of the data sequence. The generalization of these results to the multichannel case is also discussed.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>0018-9448</issn><issn>1557-9654</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1987</creationdate><recordtype>article</recordtype><recordid>eNpNkE1LxDAQhoMouK7eBS89iOihddImbXOUxY-FBUHXc5imU4l025p0D_vvzdJVPA3DPPMw8zJ2ySHhHNT9erlOuCqLhIMsMg5HbMalLGKVS3HMZgC8jJUQ5Sk78_4rtELydMbe3kesbGvHXdQ3UWs7QhcNjmprxt75CLs66rYbctZgGznsPmkP4i_aD-QwkNHtoneO_JDcnbOTBltPF4c6Zx9Pj-vFS7x6fV4uHlaxyVI-xorSUgohTA6gcixFOKmSAk0TBkrVKWSVMYoXUClEWVYGqjrcnVEKBWSQzdnN5B1c_70lP-qN9YbaFjvqt14HvVKpzAMIE2hc772jRg_ObtDtNAe9D0-H8PQ-PH0IL6xcH9zow-NNeNxY_7dXCJEVeRmwqwmzRPTPOkl-ADsvdn8</recordid><startdate>19870501</startdate><enddate>19870501</enddate><creator>Delsarte, P.</creator><creator>Genin, Y.</creator><creator>Kamp, Y.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19870501</creationdate><title>Stability of linear predictors and numerical range of a linear operator (Corresp.)</title><author>Delsarte, P. ; Genin, Y. ; Kamp, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-9e285444c60096a84014b54acfe2899d203bcc9170b9aa58bc0bd0013e2070303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1987</creationdate><topic>Applied sciences</topic><topic>Exact sciences and technology</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Transmission and modulation (techniques and equipments)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delsarte, P.</creatorcontrib><creatorcontrib>Genin, Y.</creatorcontrib><creatorcontrib>Kamp, Y.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems 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><jtitle>IEEE transactions on information theory</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Delsarte, P.</au><au>Genin, Y.</au><au>Kamp, Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stability of linear predictors and numerical range of a linear operator (Corresp.)</atitle><jtitle>IEEE transactions on information theory</jtitle><stitle>TIT</stitle><date>1987-05-01</date><risdate>1987</risdate><volume>33</volume><issue>3</issue><spage>412</spage><epage>415</epage><pages>412-415</pages><issn>0018-9448</issn><eissn>1557-9654</eissn><coden>IETTAW</coden><abstract>The zeros of a predictor polynomial are shown to belong to the numerical range of a linear operator associated with the particular prediction problem considered. Application of this result to the autocorrelation and postwindowed cases shows that the predictor polynomials enjoy a well-defined stability margin which depends in particular on the length of the data sequence. The generalization of these results to the multichannel case is also discussed.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TIT.1987.1057310</doi><tpages>4</tpages></addata></record> |
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subjects | Applied sciences Exact sciences and technology Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
title | Stability of linear predictors and numerical range of a linear operator (Corresp.) |
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