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  <titleInfo>
    <title>Hamiltonian neural nets as a universal signal processor</title>
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  <name type="personal">
    <namePart>SIENKO, Wiesław.</namePart>
    <namePart type="termsOfAddress">Politechnika Koszalińska - Wydział Elektroniki, Katedra Telekomunikacji</namePart>
    <namePart type="date">1993 - 2003</namePart>
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  <name type="personal">
    <namePart>CITKO, Wiesław - doktorant.</namePart>
    <namePart type="termsOfAddress">Politechnika Koszalińska - Wydział Elektroniki, Katedra Telekomunikacji</namePart>
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  <abstract>This paper presents how to find an architecture for very large scale lossless neural nets, which can be used as Haar-Walsh spectrum analyzers. This analysis relies on the orthogonality of weight matrices W, where W could be Hurwitz-Radon matrices. The unique featrue of these nets is the possibility to treat them either as algorithms or as Hamiltonian physical objects (Haar-Walsh Signal Processors).</abstract>
  <note type="statement of responsibility">Wiesław Sienko, Wiesław M. Citko.</note>
  <note>Dane z Informatora o publikowanych wynikach prac naukowo-badawczych w 2002 roku Wydziału Elektroniki.</note>
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      <text>2002</text>
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