Bell-shaped nonstationary refinable ripplets
Francesca Pitolli

TL;DR
This paper investigates nonstationary refinable ripplets, demonstrating their bell-shaped nature, constructing associated prewavelets and biorthogonal bases, and showcasing their effectiveness in analyzing spike-like signals.
Contribution
It introduces a comprehensive framework for nonstationary refinable ripplets, including their properties, construction of prewavelets, biorthogonal bases, and efficient algorithms for signal analysis.
Findings
Ripplets satisfy Strang-Fix conditions and are bell-shaped.
Constructed nonstationary prewavelets and biorthogonal bases.
Demonstrated good performance in spike-like signal analysis.
Abstract
We study the approximation properties of the class of nonstationary refinable ripplets introduced in \cite{GP08}. These functions are solution of an infinite set of nonstationary refinable equations and are defined through sequences of scaling masks that have an explicit expression. Moreover, they are variation-diminishing and highly localized in the scale-time plane, properties that make them particularly attractive in applications. Here, we prove that they enjoy Strang-Fix conditions and convolution and differentiation rules and that they are bell-shaped. Then, we construct the corresponding minimally supported nonstationary prewavelets and give an iterative algorithm to evaluate the prewavelet masks. Finally, we give a procedure to construct the associated nonstationary biorthogonal bases and filters to be used in efficient decomposition and reconstruction algorithms. As an example,…
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