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      • Department of Electrical and Electronics Engineering
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      High resolution time frequency representation with significantly reduced cross-terms

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      Author(s)
      Özdemir, A. Kemal
      Arıkan, Orhan
      Date
      2000-06
      Source 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 Paper
      Item Usage Stats
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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
      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
      Permalink
      http://hdl.handle.net/11693/27650
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2000.859054
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      • Department of Electrical and Electronics Engineering 3702
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