TY - JOUR
T1 - DISCRETE-FREQUENCY FOURIER TRANSFORM
T2 - A MISSING TOOL IN DIGITAL SIGNAL PROCESSING.
AU - Jenkins, William Kenneth
AU - Desai, M. D.
PY - 1985/12/1
Y1 - 1985/12/1
N2 - In certain signal processing applications it may be required to reconstruct a spatial domain image from samples of its Fourier transform. For problems such as this it may be useful to use the dual of the well-known discrete-time Fourier transform (DTFT) for purpose of analysis and design. The dual concept, called the discrete frequency Fourier transform (DFFT), is shown to be a useful transform in its own right. In addition to being useful for certain physical problems, the DFFT fills a gap in the theory and aids the designer in understanding problems which have inherently sampled frequency domains.
AB - In certain signal processing applications it may be required to reconstruct a spatial domain image from samples of its Fourier transform. For problems such as this it may be useful to use the dual of the well-known discrete-time Fourier transform (DTFT) for purpose of analysis and design. The dual concept, called the discrete frequency Fourier transform (DFFT), is shown to be a useful transform in its own right. In addition to being useful for certain physical problems, the DFFT fills a gap in the theory and aids the designer in understanding problems which have inherently sampled frequency domains.
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M3 - Conference article
AN - SCOPUS:0022288383
SN - 0271-4310
SP - 953
EP - 954
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
ER -
