High resolution time frequency representation with significantly reduced cross-terms
Ozdemir Kemal, A.
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27650
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- Conference Paper 
IEEE, Piscataway, NJ, United States
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.