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

Volume

2

fYear

2000

fDate

2000

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859054

Filename

859054