The increasing tendency of network service users to use cloud computing encourages web
service vendors to supply services that have different functional and nonfunctional (quality of …

This paper surveys recent advances related to adaptation, learning, and optimization over
networks. Various distributed strategies are discussed that enable a collection of networked …

Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

В книге рассматриваются основные разновидности адаптивных фильтров и их
применение в радиотехнических системах и системах связи. Дается представление о …

We investigate anomaly detection in an unsupervised framework and introduce long short-
term memory (LSTM) neural network-based algorithms. In particular, given variable length …

As a robust nonlinear similarity measure in kernel space, correntropy has received
increasing attention in domains of machine learning and signal processing. In particular, the …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

We describe a method to estimate the capacity limit of fiber-optic communication systems
(or¿ fiber channels¿) based on information theory. This paper is divided into two parts. Part 1 …

This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

Recently, a variety of super-resolution (SR) methods have been devoted to enhancing the
angular resolution of real beam mapping (RBM) imagery in modern microwave remote …