High resolution time-frequency analysis by fractional domain warping

Date
2001-05
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
3553 - 3556
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Series
Abstract

A new algorithm is proposed to obtain very high resolution time-frequency analysis of signal components with curved time-frequency supports. The proposed algorithm is based on fractional Fourier domain warping concept introduced in this work. By integrating this warping concept to the recently developed directionally smoothed Wigner distribution algorithm [1], the high performance of that algorithm on linear, chirp-like components is extended to signal components with curved time-frequency supports. The main advantage of the algorithm is its ability to suppress not only the cross-cross terms, but also the auto-cross terms in the Wigner distribution. For a signal with N samples duration, the computational complexity of the algorithm is O(N log N) flops for each computed slice of the new time-frequency distribution.

Course
Other identifiers
Book Title
Keywords
Fractional Fourier transform domain, Time frequency analysis, Wigner distribution, Algorithms, Computational complexity, Fourier transforms, Frequency domain analysis, Time domain analysis, Signal processing
Citation
Published Version (Please cite this version)