Wigner-Ville Distribution Associated with the Linear Canonical Transform

Joint Authors

Bai, Rui-Feng
Cheng, Qi-Yuan
Li, Bing-Zhao

Source

Journal of Applied Mathematics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-07-05

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

The linear canonical transform is shown to be one of the most powerful tools for nonstationary signal processing.

Based on the properties of the linear canonical transform and the classical Wigner-Ville transform, this paper investigates the Wigner-Ville distribution in the linear canonical transform domain.

Firstly, unlike the classical Wigner-Ville transform, a new definition of Wigner-Ville distribution associated with the linear canonical transform is given.

Then, the main properties of the newly defined Wigner-Ville transform are investigated in detail.

Finally, the applications of the newly defined Wigner-Ville transform in the linear-frequency-modulated signal detection are proposed, and the simulation results are also given to verify the derivedtheory.

American Psychological Association (APA)

Bai, Rui-Feng& Li, Bing-Zhao& Cheng, Qi-Yuan. 2012. Wigner-Ville Distribution Associated with the Linear Canonical Transform. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1028989

Modern Language Association (MLA)

Bai, Rui-Feng…[et al.]. Wigner-Ville Distribution Associated with the Linear Canonical Transform. Journal of Applied Mathematics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1028989

American Medical Association (AMA)

Bai, Rui-Feng& Li, Bing-Zhao& Cheng, Qi-Yuan. Wigner-Ville Distribution Associated with the Linear Canonical Transform. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1028989

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1028989