The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Epilepsy is the neurological disorder of the brain which is difficult to diagnose visually using
Electroencephalogram (EEG) signals. Hence, an automated detection of epilepsy using …

Prognostics and health management (PHM) is a framework that offers comprehensive yet
individualized solutions for managing system health. In recent years, PHM has emerged as …

Edited by the people who were forerunners in creating the field, together with contributions
from 34 leading international experts, this handbook provides the definitive reference on …

We discuss a multilinear generalization of the singular value decomposition. There is a
strong analogy between several properties of the matrix and the higher-order tensor …

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable
Hardware Chip (EHW) development, and modern human computer interaction. EMG signals …

Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …

In this paper we discuss a multilinear generalization of the best rank-R approximation
problem for matrices, namely, the approximation of a given higher-order tensor, in an …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

Renewable energy sources like wind energy are copiously available without any limitation.
Wind turbines are used to tap the potential of wind energy, which is available in millions of …