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Generating nonstationary multisensor signals under a spatial coherence constraint.

Emanuël A P Habets1, Israel Cohen, Sharon Gannot

  • 1School of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel. e.habets@ieee.org

The Journal of the Acoustical Society of America
|December 3, 2008
PubMed
Summary
This summary is machine-generated.

A new algorithm generates multisensor signals with specific spatial coherence, overcoming limitations of existing methods for simulating complex noise fields like babble speech.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Computational Physics

Background:

  • Real-world noise fields are often spherical or cylindrical.
  • Spatial coherence functions characterize noise field properties.
  • Simulating specific noise types (e.g., babble speech, factory noise) with desired coherence is challenging.

Purpose of the Study:

  • To develop an efficient algorithm for generating multisensor signals with a predefined spatial coherence.
  • To overcome limitations of existing methods in simulating arbitrary noise fields and specific noise types.

Main Methods:

  • Developed an efficient algorithm for multisensor signal generation.
  • Algorithm requires only M mutually independent noise signals for M sensor signals.
  • No restrictions on the spatial coherence function.

Main Results:

  • The algorithm successfully generates multisensor signals under spatial coherence constraints.
  • Demonstrated ability to generate complex noise types like babble speech and factory noise.
  • Achieved more accurate spatial coherence compared to the image method.

Conclusions:

  • The developed algorithm provides a flexible and efficient solution for simulating multisensor signals with controlled spatial coherence.
  • Enables accurate simulation of complex acoustic environments and noise types for research and development.