Title :
A high resolution time frequency representation with significantly reduced cross-terms
Author :
Özdemir, A. Kemal ; Arikan, Orhan
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Abstract :
A novel algorithm is proposed for efficiently smoothing the slices of the Wigner distribution by exploiting the developed relation between the Radon transform of the ambiguity function and the fractional Fourier transformation (Odzemir and Ankan, 1999). 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 :
Fourier transforms; Radon transforms; Wigner distribution; adaptive filters; computational complexity; interference suppression; low-pass filters; signal representation; signal resolution; smoothing methods; time-frequency analysis; Radon transform; Wigner distribution; ambiguity function; chirp-like auto-components; computational complexity; cross-term interference; cross-terms; fractional Fourier transformation; high resolution time frequency representation; smoothing; Chirp; Distributed computing; Fourier transforms; Interference suppression; Kernel; Signal analysis; Signal processing algorithms; Signal synthesis; Smoothing methods; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859054
