Lower Bound of Time Span Product for a General Class of Signals in Fractional Fourier Domain
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Lower Bound of Time Span Product for a General Class of Signals in Fractional Fourier Domain

Authors: Sukrit Shankar, Chetana Shanta Patsa, Jaydev Sharma

Abstract:

Fractional Fourier Transform is a generalization of the classical Fourier Transform which is often symbolized as the rotation in time- frequency plane. Similar to the product of time and frequency span which provides the Uncertainty Principle for the classical Fourier domain, there has not been till date an Uncertainty Principle for the Fractional Fourier domain for a generalized class of finite energy signals. Though the lower bound for the product of time and Fractional Fourier span is derived for the real signals, a tighter lower bound for a general class of signals is of practical importance, especially for the analysis of signals containing chirps. We hence formulate a mathematical derivation that gives the lower bound of time and Fractional Fourier span product. The relation proves to be utmost importance in taking the Fractional Fourier Transform with adaptive time and Fractional span resolutions for a varied class of complex signals.

Keywords: Fractional Fourier Transform, uncertainty principle, Fractional Fourier Span, amplitude, phase.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070499

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References:


[1] S. C. Pei and M. H. Yeh, "Improved discrete fractional Fourier transform," Optics Letters, vol. 22, pp. 1047-1049, July 15 1997.
[2] Ahmed I. Zayed, "Relationship between the Fourier and Fractional Fourier Transforms", IEEE Signal Processing Letters, vol. 3, no. 12, December 1996.
[3] Tatiana Alieva and Martin J. Bastiaans, "On Fractional Fourier Transform Moments", IEEE Signal Processing Letters, vol. 7, no. 11, November 2000.
[4] Sudarshan Shinde and Vikram M. Gadre, "An Uncertainty Principle for Real Signals in the Fractional Fourier Transform Domain", IEEE Transaction On Signal Processing, vol. 49, no. 11, November 2001
[5] N. Wiener, "Hermitian polynomials and Fourier analysis," J. Math.Phys. MIT, vol. 8, pp. 70-73, 1929.
[6] Haldun M. Ozaktas, Orhan Ankan, , M. Alper Kutay, and Gozde Bozdaki, "Digital Computation of Fractional Fourier Transform", IEEE Transactions On Signal Processing, vol. 44, no. 9, September 1996