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Echo01:06

Echo

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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
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The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
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Related Experiment Video

Updated: May 14, 2025

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization USV Songs
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Enhancing fin whale vocalizations in distributed acoustic sensing data.

Quentin Goestchel1, William S D Wilcock1, Shima Abadi1

  • 1School of Oceanography, University of Washington, Seattle, Washington 98195, USA.

The Journal of the Acoustical Society of America
|May 13, 2025
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Summary

Distributed Acoustic Sensing (DAS) effectively detects fin whale calls using fiber-optic cables. A combined matched filtering and envelope subtraction method enhances low signal-to-noise ratio detections for marine mammal monitoring.

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Last Updated: May 14, 2025

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Area of Science:

  • Marine bioacoustics
  • Oceanographic technology
  • Signal processing

Background:

  • Acoustic monitoring is crucial for marine mammal research and conservation, complementing visual surveys.
  • Fin whale 20 Hz vocalizations are ideal for acoustic detection.
  • Distributed Acoustic Sensing (DAS) offers continuous, high-resolution acoustic data over long distances using fiber-optic cables.

Purpose of the Study:

  • To evaluate signal processing techniques for enhancing and denoising fin whale vocalizations in DAS data.
  • To assess the effectiveness of DAS for marine mammal acoustic monitoring.

Main Methods:

  • Collected DAS data using the Ocean Observatories Initiative Regional Cabled Array in November 2021.
  • Applied and compared signal-to-noise ratio estimation, matched filtering, Gabor filtering, and noise envelope subtraction.
  • Focused on a 65-95 km segment with 2 m channel spacing.

Main Results:

  • A combination of matched filtering and envelope subtraction proved most effective for fin whale call detection.
  • This method successfully detected low signal-to-noise ratio (SNR) fin whale calls and determined their arrival times.
  • DAS array processing significantly improved SNR and detection capabilities.

Conclusions:

  • DAS is a promising technology for marine mammal acoustic monitoring, particularly for fin whales.
  • Advanced signal processing techniques enhance DAS data quality for bioacoustic applications.
  • This study demonstrates the potential of DAS for improved marine mammal detection and conservation efforts.