The DRFT-a rotation in time-frequency space

Authors:
B. Santhanam;J. H. McClellan
Affiliations:
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA;Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Venue:
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Year:
1995

Citing 0
Cited 2

Mixed Fourier transforms and image encryption

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Fractional Fourier transform: a survey

Proceedings of the International Conference on Advances in Computing, Communications and Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The continuous-time angular Fourier transformation (AFT) represents a rotation in continuous time-frequency space and also serves as an orthonormal signal representation for chirp signals. We present a discrete version of the AFT (DRFT) that represents a rotation in discrete time-frequency space and some properties of the transform that support its interpretation as a rotation. The transform is a generalization of the DFT. The eigenvalue structure of the DFT is then exploited to develop an efficient algorithm for the computation of this transform.