Evaluation of seven time-frequency representation algorithms applied to broadband echolocation signals
(2015) In Advances in Acoustics and Vibration 2015.- Abstract
- Time-frequency representation algorithms such as spectrograms have proven to be useful tools in marine biosonar signal analysis. Although there are several different time-frequency representation algorithms designed for different types of signals with various characteristics, it is unclear which algorithms that are best suited for transient signals, like the echolocation signals of echolocating whales. This paper describes a comparison of seven different time-frequency representation algorithms with respect to their usefulness when it comes to marine biosonar signals. It also provides the answer to how close in time and frequency two transients can be while remaining distinguishable as two separate signals in time-frequency... (More)
- Time-frequency representation algorithms such as spectrograms have proven to be useful tools in marine biosonar signal analysis. Although there are several different time-frequency representation algorithms designed for different types of signals with various characteristics, it is unclear which algorithms that are best suited for transient signals, like the echolocation signals of echolocating whales. This paper describes a comparison of seven different time-frequency representation algorithms with respect to their usefulness when it comes to marine biosonar signals. It also provides the answer to how close in time and frequency two transients can be while remaining distinguishable as two separate signals in time-frequency representations. This is, for instance, relevant in studies where echolocation signal component azimuths are compared in the search for the exact location of their acoustic sources. The smallest time difference was found to be 20 µs and the smallest frequency difference 49 kHz of signals with a −3 dB bandwidth of 40 kHz. Among the tested methods, the Reassigned Smoothed Pseudo Wigner-Ville distribution technique was found to be the most capable of localizing closely spaced signal components. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8310624
- author
- Starkhammar, Josefin LU and Sandsten, Maria LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Advances in Acoustics and Vibration
- volume
- 2015
- publisher
- Hindawi Limited
- external identifiers
-
- scopus:84938149050
- wos:000214618500002
- ISSN
- 1687-6261
- DOI
- 10.1155/2015/342503
- language
- English
- LU publication?
- yes
- id
- 68ecdaae-03c3-474b-9709-e79e405d1de7 (old id 8310624)
- date added to LUP
- 2016-04-01 10:58:03
- date last changed
- 2024-06-17 05:48:58
@article{68ecdaae-03c3-474b-9709-e79e405d1de7, abstract = {{Time-frequency representation algorithms such as spectrograms have proven to be useful tools in marine biosonar signal analysis. Although there are several different time-frequency representation algorithms designed for different types of signals with various characteristics, it is unclear which algorithms that are best suited for transient signals, like the echolocation signals of echolocating whales. This paper describes a comparison of seven different time-frequency representation algorithms with respect to their usefulness when it comes to marine biosonar signals. It also provides the answer to how close in time and frequency two transients can be while remaining distinguishable as two separate signals in time-frequency representations. This is, for instance, relevant in studies where echolocation signal component azimuths are compared in the search for the exact location of their acoustic sources. The smallest time difference was found to be 20 µs and the smallest frequency difference 49 kHz of signals with a −3 dB bandwidth of 40 kHz. Among the tested methods, the Reassigned Smoothed Pseudo Wigner-Ville distribution technique was found to be the most capable of localizing closely spaced signal components.}}, author = {{Starkhammar, Josefin and Sandsten, Maria}}, issn = {{1687-6261}}, language = {{eng}}, publisher = {{Hindawi Limited}}, series = {{Advances in Acoustics and Vibration}}, title = {{Evaluation of seven time-frequency representation algorithms applied to broadband echolocation signals}}, url = {{http://dx.doi.org/10.1155/2015/342503}}, doi = {{10.1155/2015/342503}}, volume = {{2015}}, year = {{2015}}, }