Wavelet analysis provides a framework for decomposing signals and functions into basis elements that are localised in both time (or space) and frequency. Central to this approach is the concept of ...

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

Frame theory generalises the concept of an orthonormal basis by allowing redundant, yet stable, expansions of vectors in a Hilbert space. Rather than seeking a unique representation, frames permit ...

This series is excerpted from “Digital Signal Processingand Applications, 2nd Edition.” Order this book today at www.newnespress.comor by calling 1-800-545-2522 and receive a 20% discount! Use ...

In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information. Many researchers receive their data in the form of ...

An accurate representation of permeability anisotropy is needed to accurately model the rate and direction of groundwater flow. Wavelet analysis can be used to characterize principal directions of ...

Yves Meyer wins the Abel Prize for development of a theory with applications ranging from watching movies to detecting gravitational waves French mathematician Yves Meyer has won the 2017 Abel Prize ...