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  • Není k dispozici (cs)
  • A number of the methods for parameters estimation in many statistical books were described. Many of these are quite suboptimal, because it is impossible to estimate the model parameters directly from noisy wavelet coefficients. So because of this the method using Jeffrey divergence (JD) was proposed. This method for parameters estimation is based on minimizing of JD between the noisy wavelet coefficients histogram and the modeled noisy PDF.
  • A number of the methods for parameters estimation in many statistical books were described. Many of these are quite suboptimal, because it is impossible to estimate the model parameters directly from noisy wavelet coefficients. So because of this the method using Jeffrey divergence (JD) was proposed. This method for parameters estimation is based on minimizing of JD between the noisy wavelet coefficients histogram and the modeled noisy PDF. (en)
Title
  • Model Parameters Estimation Using Jeffrey Divergence
  • Model Parameters Estimation Using Jeffrey Divergence (en)
  • Odhad parametrů modelu s využitím Jeffreyho divergence (cs)
skos:prefLabel
  • Model Parameters Estimation Using Jeffrey Divergence
  • Model Parameters Estimation Using Jeffrey Divergence (en)
  • Odhad parametrů modelu s využitím Jeffreyho divergence (cs)
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  • RIV/68407700:21230/07:03130420!RIV08-GA0-21230___
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  • 543;545
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  • P(GA102/05/2054)
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  • 434241
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  • RIV/68407700:21230/07:03130420
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  • Jeffrey Divergence; Model Parameters Estimation (en)
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  • [22BA710A5D62]
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  • VUT v Brně, FEKT, ÚREL
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  • Brno
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  • Proceedings of 17th International Conference Radioelektronika 2007
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  • Švihlík, Jan
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  • Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
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  • 1-4244-0821-0
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  • 21230
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