Title :
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
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;
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
DOI :
10.1109/SSAP.1996.534902
