Title :
A Tighter Uncertainty Principle for Linear Canonical Transform in Terms of Phase Derivative
Author :
Pei Dang ; Guan-Tie Deng ; Tao Qian
Author_Institution :
Dept. of Gen. Educ., Macau Univ. of Sci. & Technol., Macao, China
Abstract :
This study devotes to uncertainty principles under the linear canonical transform (LCT) of a complex signal. A lower-bound for the uncertainty product of a signal in the two LCT domains is proposed that is sharper than those in the existing literature. We also deduce the conditions that give rise to the equal relation of the new uncertainty principle. The uncertainty principle for the fractional Fourier transform is a particular case of the general result for LCT. Examples, including simulations, are provided to show that the new uncertainty principle is truly sharper than the latest one in the literature, and illustrate when the new and old lower bounds are the same and when different.
Keywords :
Fourier transforms; signal processing; LCT; complex signal; fractional Fourier transform; linear canonical transform; phase derivative; tighter uncertainty principle; Educational institutions; Electronic mail; Facsimile; Fourier transforms; Signal analysis; Uncertainty; Complex signal; fractional Fourier transform; linear canonical transform (LCT); uncertainty principle;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2013.2273440