Navigation and positioning is an important and challenging problem in many control
engineering applications. It provides feedback information to design controllers for systems …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

A random field is the representation of the joint probability distribution for a set of random
variables. Markov fields, in particular, have a long standing tradition as the theoretical …

A blend of introductory material and advanced signal processing and communication
techniques, of critical importance to underwater system and network development This book …

It is well known that EEG signals of Alzheimer's disease (AD) patients are generally less
synchronous than in age-matched control subjects. However, this effect is not always easily …

Over-the-air computation (OAC) is a promising technique to realize fast model aggregation
in the uplink of federated edge learning (FEEL). OAC, however, hinges on accurate channel …

Neuronal computations rely upon local interactions across synapses. For a neuronal
network to perform inference, it must integrate information from locally computed messages …

In this article we argue that the retail transnational corporation (TNC) is an entity that merits
urgent theoretical and empirical investigation from economic geographers. Using recent …

In this work the dynamic compressive sensing (CS) problem of recovering sparse,
correlated, time-varying signals from sub-Nyquist, non-adaptive, linear measurements is …

We propose an iterative channel estimation algorithm based on the least square estimation
(LSE) and sparse message passing (SMP) algorithm for the millimeter wave (mmWave) …