Abstract
Wavelet transform is a new way of evaluating and processing signals. Wavelet transform can be defined as “a tool that cuts up data functions or operates into different frequency components and then studies each component with a resolution matched to its scale”. Wavelet literally means “small wave”. The field includes work by Ingrid Daubechies (1996), Y. Meyer (1993), Stephane Mallat (1998), Ronald Coifman and Victor Wickerhauser [26], [27], [28], [29], [30], [70].
An Erratum can be found at http://dx.doi.org/10.1007/978-3-540-85130-1_11
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
David, V.K., Rajasekaran, S. (2009). Retracted Chapter: Wavelet Transforms and MicroARTMAP. In: Pattern Recognition using Neural and Functional Networks. Studies in Computational Intelligence, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85130-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-85130-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85129-5
Online ISBN: 978-3-540-85130-1
eBook Packages: EngineeringEngineering (R0)