An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform
Joint Authors
Renaudin, Marc
Fesquet, Laurent
Qaisar, Saeed Mian
Source
Research Letters in Signal Processing
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-22
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals.
The limitation of the STFT is its fixed time-frequency resolution.
Thus, an enhanced version of the STFT, which is based on the cross-level sampling, is devised.
It can adapt the sampling frequency and the window function length by following the input signal local characteristics.
Therefore, it provides an adaptive resolution time-frequency representation of the input signal.
The computational complexity of the proposed STFT is deduced and compared to the classical one.
The results show a significant gain of the computational efficiency and hence of the processing power.
American Psychological Association (APA)
Qaisar, Saeed Mian& Fesquet, Laurent& Renaudin, Marc. 2008. An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform. Research Letters in Signal Processing،Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-509225
Modern Language Association (MLA)
Qaisar, Saeed Mian…[et al.]. An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform. Research Letters in Signal Processing No. 2008 (2008), pp.1-5.
https://search.emarefa.net/detail/BIM-509225
American Medical Association (AMA)
Qaisar, Saeed Mian& Fesquet, Laurent& Renaudin, Marc. An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform. Research Letters in Signal Processing. 2008. Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-509225
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509225
