Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …

Technically, a feature represents a distinguishing property, a recognizable measurement,
and a functional component obtained from a section of a pattern. Extracted features are …

Singular spectrum analysis (SSA) is a well-known methodology for analysis and forecasting
of time series. Since quite recently, SSA was also used to analyze digital images and other …

Nowadays, throughput has become a limiting factor in road transport. An effective means to
increase the road throughput is to employ a small intervehicle time gap using automatic …

Signal processing is the key component of any vibration-based structural health monitoring
(SHM). The goal of signal processing is to extract subtle changes in the vibration signals in …

Magnetoencephalographic (MEG) recordings are a rich source of information about the
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …

Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

Adaptive beamformers are sensitive to model mismatch, especially when the desired signal
is present in training snapshots or when the training is done using data samples. In contrast …

A fundamental problem in neural network research, as well as in many other disciplines, is
finding a suitable representation of multivariate data, ie random vectors. For reasons of …

Wireless indoor positioning systems have become very popular in recent years. These
systems have been successfully used in many applications such as asset tracking and …