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Related Experiment Video

Updated: Jul 17, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Noise suppression using the coherent onion peeler.

James H Wilson¹, Albert H Nuttall, Robert A Prater

¹Planning Systems, Inc., 3834 Vista Azul, San Clemente, California 92672, USA. jhwilson@cox.net

The Journal of the Acoustical Society of America

|January 18, 2007

Summary

A novel noise suppression algorithm, the coherent onion peeler (COP), effectively removes interfering signals by minimizing errors. This method significantly reduces broadband noise, enhancing acoustic data quality for towed arrays.

Related Experiment Videos

Last Updated: Jul 17, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Area of Science:

Acoustics
Signal Processing
Ocean Engineering

Background:

Towed arrays are crucial for underwater acoustic data acquisition.
Interfering noise, such as tow ship noise, significantly degrades towed array performance.
Existing noise suppression methods have limitations in effectively handling broadband noise.

Purpose of the Study:

To develop and evaluate an innovative noise suppression algorithm, the coherent onion peeler (COP).
To introduce a new nonadaptive beamformer, the GFIM-CBF Blend (G-C Blend), for improved low-frequency performance.
To assess the combined effectiveness of COP and G-C Blend in suppressing tow ship noise for towed arrays.

Main Methods:

The coherent onion peeler (COP) algorithm is derived by minimizing error in coherent subtraction from a plane wave model.
COP iteratively removes interferers by "peeling back" noise components at the hydrophone FFT level.
A frequency-dependent GFIM-CBF Blend (G-C Blend) beamformer is developed, averaging conventional beamforming (CBF) and generalized Fourier integral method (GFIM) properties.

Main Results:

The COP algorithm effectively suppresses broadband noise from sources like tow ships.
A single pass of COP reduced tow ship noise by over 19 dB.
The G-C Blend beamformer integrates optimal characteristics of CBF and GFIM across different frequencies.

Conclusions:

The coherent onion peeler (COP) offers a powerful method for coherent noise suppression in acoustic data.
The G-C Blend beamformer provides enhanced performance across a wide frequency range, particularly at very low frequencies.
Combined application of COP and G-C Blend significantly improves towed array performance by mitigating broadband noise interference.