The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …

This contribution provides a review of the most recent wavelet applications in the field of
earth sciences and is devoted to introducing and illustrating new wavelet analysis methods …

Abstract Due to the Heisenberg–Gabor uncertainty principle, finite oscillation transients are
difficult to localize simultaneously in both time and frequency. Classical estimators, like the …

Implicit neural representations (INRs) recently achieved great success in image
representation and compression, offering high visual quality and fast rendering speeds with …

A solar radiation forecasting model can be utilized is a scientific contrivance for investigating
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

Typical microseismic data recorded by surface arrays are characterized by low signal-to-
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …

We propose a novel method for constructing wavelet transforms of functions defined on the
vertices of an arbitrary finite weighted graph. Our approach is based on defining scaling …

1. The Inverse of a Nonsingular Matrix It is well known that every nonsingular matrix A has a
unique inverse,? 1 denoted by A, such that? 1? 1 AA= AA= I,(1) where I is the identity matrix …

A search on Mathematical Reviews or Zentralblatt shows only a few titles of books or articles
concerning frames published before 1991; among those we mention the original paper by …