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 ...

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 ...

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 ...

The rest of this chapter is dedicated to the construction of wavelets for discrete analysis. First of all, we widen the framework passing by the two-channel filter banks, whose properties are examined ...

Ingrid Daubechies is best known for work on wavelets, which is now critical for signal processing. Photograph by Justin Cook Ingrid Daubechies’ garden at her home near Duke University is an explosion ...

The wavelet transform is a tool that cuts up data or functions or operators into different frequency components, and then studies each component with a resolution matched to its scale. Forerunners 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 ...