Resolving power and information theory in signal recovery

E. Scalas; G. A. Viano

doi:10.1364/JOSAA.10.000991

Resolving power and information theory in signal recovery

E. Scalas
, G. A. Viano

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

Abstract

We develop a probabilistic approach to the problem of signal recovery from noisy data. In particular, in constructing the approximation, we introduce a truncation method that is related to an order-disorder transition point of the Fourier coefficients of the data. Through a statistical method we show how to determine this truncation point without using any prior information.

Lingua originale	Inglese
pagine (da-a)	991-996
Numero di pagine	6
Rivista	Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume	10
Numero di pubblicazione	5
DOI	https://doi.org/10.1364/JOSAA.10.000991
Stato di pubblicazione	Pubblicato - mag 1993
Pubblicato esternamente	Sì

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10.1364/JOSAA.10.000991

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abstract = "We develop a probabilistic approach to the problem of signal recovery from noisy data. In particular, in constructing the approximation, we introduce a truncation method that is related to an order-disorder transition point of the Fourier coefficients of the data. Through a statistical method we show how to determine this truncation point without using any prior information.",

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AB - We develop a probabilistic approach to the problem of signal recovery from noisy data. In particular, in constructing the approximation, we introduce a truncation method that is related to an order-disorder transition point of the Fourier coefficients of the data. Through a statistical method we show how to determine this truncation point without using any prior information.

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DO - 10.1364/JOSAA.10.000991

M3 - Article

SN - 1084-7529

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JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision

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Resolving power and information theory in signal recovery

Abstract

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