In various signal processing applications, such as audio signal recovery, the extraction of
desired signals from a mixture of other signals is a crucial task. To achieve superior …

In the contemporary era, blind source separation has emerged as a highly appealing and
significant research topic within the field of signal processing. The imperative for the …

Speech signals observed from distantly placed microphones may have some acoustic
interference, such as noise and reverberation. These may lead to the degradation of the …

The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most
studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to …

A microphone positioned far away observes speech signals with little acoustic interference,
in terms of both reverberation and noise. As a result, the quality of blind speech degrades …

Multi-track synthetic aperture radar interferometry (InSAR) provides a good approach for the
monitoring of long-term multi-dimensional earthquake deformation, including pre-, co-, and …

In order to resolve engineering problems that the performance of the traditional blind source
separation (BSS) methods deteriorates or even becomes invalid when the unknown source …

Reusable thermal protective system (TPS) plays a key role for protecting space vehicles
against the aerothermal heating. Thus the characterization of TPS performance becomes an …

This paper presents a new algorithm applied to compensate for the influence of jamming in
data transmission. A new metric of system optimization has been adopted from the blind …

Modern video surveillance has now become an active area of research with a large set of
requirements and various applications. In order to detect moving objects in video …