High resolution time frequency representation with significantly reduced cross-terms
Date
2000-06
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Source Title
2000 IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings
Print ISSN
0736-7791
Electronic ISSN
Publisher
IEEE
Volume
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Pages
693 - 696
Language
English
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Journal Title
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Volume Title
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3
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20
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Abstract
A novel algorithm is proposed for efficiently smoothing the slices of the Wigner distribution by exploiting the recently developed relation between the Radon transform of the ambiguity function and the fractional Fourier transformation. The main advantage of the new algorithm is its ability to suppress cross-term interference on chirp-like auto-components without any detrimental effect to the auto-components. For a signal with N samples, the computational complexity of the algorithm is O(N log N) flops for each smoothed slice of the Wigner distribution.
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Keywords
Algorithms, Computational complexity, Computer simulation, Fast Fourier transforms, Interference suppression, Low pass filters, Probability distributions, Fractional Fourier transform, Radon transform, Suppress cross term interference, Time frequency representation, Wigner distribution, Adaptive filtering