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An efficient algorithm to extract components of a composite signal
- Source :
- Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000, ICASSP
- Publication Year :
- 2000
- Publisher :
- IEEE, 2000.
-
Abstract
- Date of Conference: 5-9 June 2000 Conference Name: International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000 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.
- Subjects :
- Error detection
Time frequency domain
Auto wigner term
Speech recognition
Time domain analysis
Spectral density estimation
Composite signal
Computer simulation
Signal
Time–frequency analysis
Fractional Fourier transform
Computational complexity
Multidimensional signal processing
Discrete-time signal
Analog signal
Probability distributions
Frequency domain
Frequency domain analysis
Signal filtering and prediction
Signal transfer function
Algorithm
Algorithms
Mathematics
Fast Fourier transforms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000, ICASSP
- Accession number :
- edsair.doi.dedup.....e57c5c40db7f08a1f1366fed7329b74c