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Objective detection and time-frequency localization of components within transient signals
Isabella Reinhold1, Maria Sandsten1, Josefin Starkhammar2
1Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Lund, Sweden.
This study introduces an automatic method for detecting overlapping transient pulses in complex signals. The technique accurately identifies and counts Gaussian shaped transients, even in noisy data, with high precision.
Area of Science:
- Acoustics
- Signal Processing
- Bioacoustics
Background:
- Analyzing overlapping transient pulses in multi-component signals is challenging.
- Accurate detection of Gaussian shaped transients is crucial in various acoustic research fields.
- Existing methods may struggle with closely located pulses and disruptive noise.
Purpose of the Study:
- To present and evaluate an automatic component detection method for overlapping transient pulses.
- To demonstrate the effectiveness of the scaled reassignment technique for transient pulse analysis.
- To provide a robust tool for analyzing coinciding Gaussian shaped transients.
Main Methods:
- An automatic component detection method was developed.
- The scaled reassignment technique was employed for high-resolution analysis.
- The method was tested on laboratory pulse-echo data and dolphin echolocation signals.
Main Results:
- The scaled reassignment technique achieved superior resolution for closely located Gaussian shaped transient pulses.
- The method automatically detected and counted transients with accurate center times and frequencies.
- Effective performance was observed even in the presence of heavy disruptive noise.
Conclusions:
- The presented automatic method offers high accuracy in detecting and characterizing overlapping transient pulses.
- The technique shows significant potential for applications in acoustic research, particularly in analyzing coinciding Gaussian shaped transients.
- The method's minimal user input requirement facilitates its easy adoption in diverse research projects.
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