This chapter presents an overview of wavelet-based image coding. We develop the basics
of image coding with a discussion of vector quantization. We motivate the use of transform …

First published in 1995, Wavelets and Subband Coding offered a unified view of the exciting
field of wavelets and their discrete-time cousins, filter banks, or subband coding. The book …

The authors have been beguiled and entranced by mathematics all of their lives, and both
believe it is the highest expression of pure thought and an essential component-one might …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

Extracting relevant features from signals is important for signal analysis such as
compression, noise removal, classification, or regression (prediction). Often, important …

We apply the wavelet transform to seismic signals for the purpose of automatically
identifying the P and S phase arrivals of seismic events. In this article, an algorithm is …

We describe an algorithm to estimate a discrete signal from its noisy observation, using a
library of orthonormal bases (consisting of various wavelets, wavelet packets, and local …

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In this chapter, we develop the properties of wavelet systems in terms of the underlying filter
banks associated with them. This is an expansion and elaboration of the material in Chapter …

This simplified introduction to wavelets starts with a short historical background. The
continuous wavelet transform is presented. The multiresolution concept is concisely …