Tools
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
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1364/JOSAA.10.000991
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://srodev.sussex.ac.uk/id/eprint/50336 |