DocumentCode
1318429
Title
Beyond the Fourier Transform: Signal Symmetry Breaking in the Complex Plane
Author
Perotti, L. ; Vrinceanu, D. ; Bessis, D.
Author_Institution
Dept. of Phys., Texas Southern Univ., Houston, TX, USA
Volume
19
Issue
12
fYear
2012
Firstpage
865
Lastpage
867
Abstract
In this letter, we invert the ordinary point of view in the analysis of noisy data by treating the signal as a perturbation of the noise. The generating function of pure noise is represented, in the Complex Plane, by poles and zeros (Froissart doublets) having a universal, isotropic statistical distribution. The presence of a signal breaks this rotational symmetry. This allows to detect signals deeply embedded in noise that traditional methods cannot reach.
Keywords
Fourier transforms; signal processing; statistical analysis; Fourier transform; Froissart doublets; complex plane; noisy data analysis; perturbation; poles and zeros; signal symmetry breaking; universal isotropic statistical distribution; Approximation methods; Fourier transforms; Noise; Oscillators; Poles and zeros; Statistical distributions; Time series analysis; Data analysis; noise; statistical distribution;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2012.2224864
Filename
6330990
Link To Document