CAF-FrFT: a center-affine-filter with fractional Fourier transform to reduce the cross-terms of Wigner distribution
- Submitting institution
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Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1261
- Type
- D - Journal article
- DOI
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10.1016/j.sigpro.2013.06.031
- Title of journal
- Signal Processing
- Article number
- -
- First page
- 330
- Volume
- 94
- Issue
- -
- ISSN
- 0165-1684
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
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http://eprints.mdx.ac.uk/16789/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the application of a centre-affine-filter (CAF) to the rotated version of the Wigner Distribution (WD) obtaining from the fractional Fourier transform (FrFT). The optimal rotation angle is obtained via the FrFT of a signal under the criterion of maximum amplitude. This work is significant because of the creative solution to the cross-term problem with the popular WD. The simulations were conducted on two types of signals, namely, parallel signals, and non-parallel signals. Both the qualitative comparisons and the quantitative measures show that the proposed CAF–FrFT outperforms the original CAF method.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -