Title :
A unified framework for the Sussman, Moyal, and Janssen formulas
Author :
Farden, David C. ; Scharf, Louis L.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
fDate :
5/1/2006 12:00:00 AM
Abstract :
This paper derives three fundamental identities in the radar and sonar literature, namely, Sussman´ identity for ambiguity functions, Moyal´s formula which establishes the value of the inner product between two scattering functions, and Janseen´s formula which establishes identities for mixed inner products between waveforms and Gabor wavelets. Starting from the fundamental convolution identity, we derive Sussman´s identity. Following from an initial value theorem of Fourier analysis, we obtained Moyal´s formula. Following from Poisson´s sum formula and an initial value theorem, we also obtained Janssen´s equality. The relationship between these three identities is as follows: Janssen´s formula is a sampled-data version of Moyal´s formula, and both follow from Sussman´s identity. In turn, Sussman´s identity is a consequence of the fundamental convolution identity.
Keywords :
Fourier analysis; Poisson equation; convolution; radar signal processing; sonar signal processing; wavelet transforms; Fourier analysis; Gabor wavelets; Janssen formula; Moyal formula; Poisson sum formula; Sussman identity; ambiguity functions; initial value theorem; radar literature; scattering functions; sonar literature; Convolution; Fourier transforms; Linear systems; Particle scattering; Quantum mechanics; Radar scattering; Radar signal processing; Sonar; Time frequency analysis; Two dimensional displays;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2006.1628888