Abstract
The technical community has witnessed recently a resurgence of activity involving the theory and design of linear systems for signal decomposition and reconstruction. Over the past few years, there have been considerable advances in multirate signal processing, with much of the attention being given to subband decompositions and wavelet transforms. These advances in algorithm theory combined with advances in microelectronics technology enable cost-effective digital computer processing of signals to be performed, and has attracted great interest in the signal processing and telecommunications areas. The influence of subband and wavelet representations can be seen in many important areas, such as teleconferencing, telemedicine, video transmission for unmanned autonomous vehicles, high definition television, picture phones, voice identification, speech recognition, secure voice transmission, signal storage, object detection and classification, and many others.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Kluwer Academic Publishers
About this chapter
Cite this chapter
Smith, M.J.T., Akansu, A.N. (1996). Introduction and Overview. In: Akansu, A.N., Smith, M.J.T. (eds) Subband and Wavelet Transforms. The Kluwer International Series in Engineering and Computer Science, vol 340. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0483-8_1
Download citation
DOI: https://doi.org/10.1007/978-1-4613-0483-8_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7580-0
Online ISBN: 978-1-4613-0483-8
eBook Packages: Springer Book Archive