Skip to main content

By “acoustic” data we also mean vibrations in structures, internal stress waves, and structure–fluid interactions which involve acoustic radiation. There are a number of acoustic sensors that produce alternating voltage fluctuations that are then sampled at regular time intervals for analysis in the time, spatial, or frequency domains. The most essential part of data acquisition can be seen as objective signal calibration and characterization of signal-to-noise ratio (SNR). Calibration for multichannel systems involves not just signal amplitude, but relative phase or time delay between channels, as well as signal leakage, or cross-talk, between channels.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 629.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 799.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 799.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. P.M. Aziz et al., “An Overview of Sigma-Delta Converters”, IEEE Signal Processing Magazine (Jan. 1996), 6183.

    Google Scholar 

  2. M.W. Hauser, “Principles of Oversampling A/D Conversion”, Journal of the Audio Engineering Society 39(bf 1/2) (Jan. Feb. 1991).

    Google Scholar 

  3. A.V. Oppenheim, A.S. Willsky and Ian T. Young, Signals and Systems, Prentice – Hall International, London (1983).

    Google Scholar 

  4. T.W. Parks and C.S. Burrus, Digital Filter Design, Wiley, New York (1987).

    MATH  Google Scholar 

  5. D.C. Swanson, Signal Processing for Intelligent Sensor Systems, Chapter 1, Marcel Dekker, New York (2000).

    Google Scholar 

  6. D.C. Swanson, Signal Processing for Intelligent Sensor Systems, Chapter 6, Section 1, Marcel Dekker, New York (2000).

    Google Scholar 

  7. W.S. Burdic, Underwater Acoustic System Analysis, 2nd ed., Chapters 9 and 13, Prentice-Hall, Englewood Cliffs (1984).

    Google Scholar 

  8. J.S. Bendat and A.G. Piersol, Engineering Applications of Correlation and Spectral Analysis, Wiley, New York (1993).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Swanson, D.C. (2008). Acoustic Data Acquisition. In: Havelock, D., Kuwano, S., Vorländer, M. (eds) Handbook of Signal Processing in Acoustics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-30441-0_2

Download citation

Publish with us

Policies and ethics