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ndltd-NEU--neu-cj82nx4372016-11-29T04:16:10ZIdentification of arbitrarily time-variant systemsMany systems encountered in engineering applications are time-varying in nature. In the past these were often modeled as time-invariant or slowly-varying systems, resulting in model mis-match and a growing interest in adequate processing for identification of such systems. Appropriate schemes for the processing of data from such systems are of interest in the modeling of communication channels, power systems, and others, and can be applied to control mechanisms, echo cancellation, time-delay estimation, weak signals measurements, biological signals, array processing, and more.http://hdl.handle.net/2047/D20234468
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NDLTD
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NDLTD
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Many systems encountered in engineering applications are time-varying in nature. In the past these were often modeled as time-invariant or slowly-varying systems, resulting in model mis-match and a growing interest in adequate processing for identification of such systems. Appropriate schemes for the processing of data from such systems are of interest in the modeling of communication channels, power systems, and others, and can be applied to control mechanisms, echo cancellation, time-delay estimation, weak signals measurements, biological signals, array processing, and more.
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Identification of arbitrarily time-variant systems
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| spellingShingle |
Identification of arbitrarily time-variant systems
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| title_short |
Identification of arbitrarily time-variant systems
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| title_full |
Identification of arbitrarily time-variant systems
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| title_fullStr |
Identification of arbitrarily time-variant systems
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| title_full_unstemmed |
Identification of arbitrarily time-variant systems
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identification of arbitrarily time-variant systems
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http://hdl.handle.net/2047/D20234468
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1718398220307005440
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