Acoustic Image Compression with a Wavelet Transform

Authors

  • Dean Addison
  • David Topham
  • Charles Konzelman

Abstract

The wavelet transform appears to be effective at compressing the acoustic images in this study for the reason that the signal is made “sparse” by the wavelet transform. This stems from the fact that these acoustic images consist of dominant information returned from point reflectors in the acoustic domain. These signals are “wavelet-like” and therefore may be amenable to modelling by wavelets.

Additional Files

Published

1996-09-01

How to Cite

1.
Addison D, Topham D, Konzelman C. Acoustic Image Compression with a Wavelet Transform. Canadian Acoustics [Internet]. 1996 Sep. 1 [cited 2024 Apr. 18];24(3):49-. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1022

Issue

Section

Proceedings of the Acoustics Week in Canada