This book explains how mathematical tools can be used to solve problems in signal
processing. Assuming an advanced undergraduate-or graduate-level understanding of …

Iterative Optimization in Inverse Problems brings together a number of important iterative
algorithms for medical imaging, optimization, and statistical estimation. It incorporates recent …

The recently presented sequential unconstrained minimization algorithm, SUMMA, is
extended to provide a framework for the derivation of block‐iterative, or partial‐gradient …

Give Your Students the Proper Groundwork for Future Studies in Optimization A First Course
in Optimization is designed for a one-semester course in optimization taken by advanced …

Methods for synthesizing and recovering signal features below the diffraction limit are
revisited and interpreted as instances of a single unifying principle. Based on the review of …

In reconstructing an object function F (r) from finitely many noisy linear-functional values∫ F
(r) G_n (r) dr we face the problem that finite data, noisy or not, are insufficient to specify F (r) …

Single-frequency users of a satellite-based augmentation system (SBAS) rely on
ionospheric models to mitigate the delay due to the ionosphere. The ionosphere is the major …

An autopilot scheme of volumetric‐modulated arc therapy (VMAT)/intensity‐modulated
radiation therapy (IMRT) planning with the guidance of prior knowledge is established with …

Kidney stones is a renal disease with high prevalence and one of the major reasons for
emergency room visits. The prevalence of kidney stones is increasing, and the lifetime …

Abstract The two-dimensional (2D) density distribution of a particle beam can be
reconstructed using a diagnostic based on tomographic techniques, which measures the D …