Number theoretic methods in parameter estimation

Author

Casey, Stephen D. ; Sadler, Brian M.

Author_Institution

Inst. for Syst. Res., Maryland Univ., College Park, MD, USA

fYear

1996

fDate

24-26 Jun 1996

Firstpage

406

Lastpage

409

Abstract

Problems in harmonic analysis and synthesis are intertwined with their applications in signal and image processing. Developments in the theory on the zeta functions, algorithms on generalizations of Euclidean domains, and variations on equidistribution theory have led to algorithms for several classes of problems in parameter estimation that are general and very efficient. We present the theoretical justifications for these algorithms, and discuss their use in the analysis of periodic pulse trains

Keywords

harmonic analysis; number theory; parameter estimation; signal processing; Euclidean domain generalizations; algorithms; equidistribution theory; harmonic analysis; harmonic synthesis; image processing; number theoretic methods; parameter estimation; periodic pulse trains analysis; signal processing; zeta functions; Biomedical measurements; Educational institutions; Harmonic analysis; Image processing; Image sampling; Parameter estimation; Pollution measurement; Signal processing; Signal sampling; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534902

Filename

534902