Interferometric synthetic aperture radar (InSAR) time series methods estimate the
spatiotemporal evolution of surface deformation by incorporating information from multiple …

In this study, a fast data-driven optimization approach, named bias-accelerated subset
selection (BASS), is proposed for learning efficacious sampling patterns (SPs) with the …

This paper introduces a new estimationtheoretic framework for experiment design in the
context of MR image reconstruction under sparsity constraints. The new framework is called …

This paper considers feature selection as a problem of an aggregation of three state-of-the-
art filtration methods: Pearson's linear correlation coefficient, the ReliefF algorithm and …

Abstract Ever since the Mw7. 4 Izmit earthquake in 1999, evaluation of seismic hazard
associated with the last unbroken segments of the North Anatolian fault is capital. A strong …

In this paper, sampling design of three-dimensional (3-D) synthetic array (ie, synthetic
volume array) for microwave imaging is considered. Generally, the spatial sampling criteria …

Geodetic networks consisting of high precision and high rate Global Navigation Satellite
Systems (GNSS) stations continuously monitor seismically active regions of the world. These …

Purpose: A fast data-driven optimization approach, named bias-accelerated subset selection
(BASS), is proposed for learning efficacious sampling patterns (SPs) with the purpose of …

Abstract In Magnetic Particle Imaging (MPI), the system matrix plays an important role, as it
encodes the relationship between particle concentration and the measured signal. Its …

Abstract Design of experiments is used to study the relationship between one or more
response variables and several factors whose levels are varied. Response surface …