High resolution time frequency representation with significantly reduced cross-terms
Date
2000-06Source Title
2000 IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings
Print ISSN
0736-7791
Publisher
IEEE
Pages
693 - 696
Language
English
Type
Conference PaperItem Usage Stats
149
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107
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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.
Keywords
AlgorithmsComputational 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