Evaluation of seven time-frequency representation algorithms applied to broadband echolocation signals

Summary, in English

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: Josefin Starkhammar; Maria Sandsten
• Department/s: Department of Biomedical Engineering; Mathematical Statistics; Statistical Signal Processing Group; eSSENCE: The e-Science Collaboration
• Publishing year: 2015
• Language: English
• Publication/Series: Advances in Acoustics and Vibration
• Volume: 2015
• Links: http://dx.doi.org/10.1155/2015/342503
• Document type: Journal article
• Publisher: Hindawi Limited
• Topic: Signal Processing
• Status: Published
• Research group: Statistical Signal Processing; Statistical Signal Processing Group
• ISBN/ISSN/Other: ISSN: 1687-6261