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        <identifier>oai:drops-oai.dagstuhl.de:1880</identifier>
        <datestamp>2024-03-06T11:08:28Z</datestamp>
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          <dc:title>Representation of Operators in the Time-Frequency Domain and Generalzed Gabor Multipliers</dc:title>
          <dc:creator>Dörfler, Monika</dc:creator>
          <dc:creator>Torrésani, Bruno</dc:creator>
          <dc:subject>Operator approximation</dc:subject>
          <dc:subject>generalized Gabor multipliers</dc:subject>
          <dc:subject>spreading function</dc:subject>
          <dc:subject>twisted convolution</dc:subject>
          <dc:description>Starting from a general operator representation in the time-frequency domain, this paper addresses the problem of approximating linear operators by operators that are diagonal or band-diagonal with respect to  Gabor frames. A haracterization of operators that can be realized as Gabor multipliers is given  and necessary conditions for the existence of (Hilbert-Schmidt) optimal Gabor multiplier approximations are discussed and an efficient method for the calculation of an operator's best approximation by a Gabor multiplier is derived. The spreading function of Gabor multipliers yields new error estimates for these approximations.  Generalizations (multiple Gabor multipliers) &#13;
are introduced for better approximation of overspread operators.   The Riesz property of the projection operators involved in generalized Gabor multipliers is characterized, and a method for obtaining an operator's best approximation by a multiple Gabor multiplier is suggested. Finally, it is shown that in certain situations, generalized Gabor multipliers reduce to a finite sum of regular Gabor multipliers with adapted windows.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Monika Dörfler and Bruno Torrésani</dc:contributor>
          <dc:date>2009</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 8492, Structured Decompositions and Efficient Algorithms (2009)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.08492.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-18808</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08492.7</dc:identifier>
          <dc:language>eng</dc:language>
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