Resolving power and information-theory in signal recovery

Scalas, E and Viano, G A (1993) Resolving power and information-theory in signal recovery. Journal of the Optical Society of America A: Optics, Image Science & Vision (JOSA A), 10 (5). pp. 991-996. ISSN 1084-7529

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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.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Mathematics
Subjects: Q Science > QA Mathematics > QA0273 Probabilities. Mathematical statistics
Q Science > QA Mathematics > QA0299 Analysis. Including analytical methods connected with physical problems
Q Science > QC Physics > QC0350 Optics. Light
Depositing User: Enrico Scalas
Date Deposited: 03 Oct 2014 13:21
Last Modified: 03 Oct 2014 13:23
URI: http://sro.sussex.ac.uk/id/eprint/50336
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