About: Gianfelici transform (deleted 17 May 2008 at 00:19)   Sponge Permalink

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Also known as Iterated Hilbert Transform transform, is a novel transform that allows an asymptotically exact representation of non-stationary signals. This transform has higher performance than empirical mode decomposition, also known as Hilbert-Huang transform, periodic algebraic separation and energy demodulation (PASED), and multiband energy separation algorithm (MESA). Gianfelici F., et. al. “Multicomponent AM-FM Representations: An Asymptotically Exact Approach,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 3, pp. 823–837, Mar. 2007.

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  • Gianfelici transform (deleted 17 May 2008 at 00:19)
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  • Also known as Iterated Hilbert Transform transform, is a novel transform that allows an asymptotically exact representation of non-stationary signals. This transform has higher performance than empirical mode decomposition, also known as Hilbert-Huang transform, periodic algebraic separation and energy demodulation (PASED), and multiband energy separation algorithm (MESA). Gianfelici F., et. al. “Multicomponent AM-FM Representations: An Asymptotically Exact Approach,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 3, pp. 823–837, Mar. 2007.
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  • 11(xsd:integer)
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  • May
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  • 537.0
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  • 20080511085701(xsd:double)
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  • 2008(xsd:integer)
abstract
  • Also known as Iterated Hilbert Transform transform, is a novel transform that allows an asymptotically exact representation of non-stationary signals. This transform has higher performance than empirical mode decomposition, also known as Hilbert-Huang transform, periodic algebraic separation and energy demodulation (PASED), and multiband energy separation algorithm (MESA). Gianfelici F., et. al. “Multicomponent AM-FM Representations: An Asymptotically Exact Approach,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 3, pp. 823–837, Mar. 2007.
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