DocumentCode :
48954
Title :
Reversible Joint Hilbert and Linear Canonical Transform Without Distortion
Author :
Soo-Chang Pei ; Shih-Gu Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
61
Issue :
19
fYear :
2013
fDate :
Oct.1, 2013
Firstpage :
4768
Lastpage :
4781
Abstract :
Generalized analytic signal associated with the linear canonical transform (LCT) was proposed recently by Fu and Li [“Generalized Analytic Signal Associated With Linear Canonical Transform,” Opt. Commun., vol. 281, pp. 1468-1472, 2008]. However, most real signals, especially for baseband real signals, cannot be perfectly recovered from their generalized analytic signals. Therefore, in this paper, the conventional Hilbert transform (HT) and analytic signal associated with the LCT are concerned. To transform a real signal into the LCT of its HT, two integral transforms (i.e., the HT and LCT) are required. The goal of this paper is to simplify cascades of multiple integral transforms, which may be the HT, analytic signal, LCT or inverse LCT. The proposed transforms can reduce the complexity when realizing the relationships among the following six kinds of signals: a real signal, its HT and analytic signal, and the LCT of these three signals. Most importantly, all the proposed transforms are reversible and undistorted. Using the proposed transforms, several signal processing applications are discussed and show the advantages and flexibility over simply using the analytic signal or the LCT.
Keywords :
Hilbert transforms; distortion; signal processing; HT; analytic signal processing; baseband real signal; computational complexity reduction; generalized analytic signal; integral transforms; inverse LCT; linear canonical transform; numerical round-off error; reversible joint Hilbert transform; undistortion; Baseband; Chirp; Fourier transforms; Joints; Time-frequency analysis; Analytic signal; Hilbert transform; fractional Hilbert transform; generalized analytic signal; linear canonical transform;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2013.2273884
Filename :
6563141
Link To Document :
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