An efficient algorithm to extract components of a composite signal
Author
Özdemir, A. Kemal
Arıkan, Orhan
Date
2000Source Title
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000
Print ISSN
0736-7791
Publisher
IEEE
Pages
697 - 700
Language
English
Type
Conference PaperItem Usage Stats
170
views
views
110
downloads
downloads
Abstract
An efficient algorithm is proposed to extract components of a composite signal. The proposed approach has two stages of processing in which the time-frequency supports of the individual signal components are identified and then the individual components are estimated by performing a simple time-frequency domain incision on the identified support of the component. The use of a recently proposed time-frequency representation [1] significantly improves the performance of the proposed approach by providing very accurate description on the auto-Wigner terms of the composite signal. Then, simple fractional Fourier domain incision provides reliable estimates for each of the signal components in O(N log N) complexity for a composite signal of duration N.
Keywords
AlgorithmsComputational complexity
Computer simulation
Error detection
Fast Fourier transforms
Frequency domain analysis
Probability distributions
Time domain analysis
Auto wigner term
Composite signal
Fractional Fourier transform
Time frequency domain
Signal filtering and prediction