Various sensors implemented in the railway transportation system brings opportunities in
improving its safety and challenges in fault information mining. Extracting effective and …

Independent Component Analysis (ICA) is a common method exploited in different
biomedical signal processing applications, especially in noise removal of …

Recently, there is increasing demand for energy-efficient signal processing in wearable
visual-stimuli-based brain-computer interface (V-BCI) devices. For the better accuracy and …

The estimation of signal parameters via rotational invariance techniques (ESPRIT) is an
algorithm that uses the shift-invariant properties of the array antenna to estimate the …

Blind source separation (BSS) is a problem that appears in many research fields. Fast
Independent components analysis (FastICA) is one of the techniques to solve the problem …

Hybrid antenna array consisting of analog subarrays has been widely used for beamforming
in millimeter-wave communication systems. Due to the hybrid structure, direction-of-arrival …

Brain-computer interface (BCI), a communication technology between brain and computer
developed for a long time since the 1970s, can be incorporated into wearable devices by …

Tensor decomposition is critical for compressing data and extracting key features in novel
high-dimensional signal processing systems. However, due to the enormous amount of data …

Complex Independent Component Analysis (c-ICA) is widely employed in many applications
involving MIMO communication systems, radar signal processing, medical imaging (MRI) …

Beyond-5G wireless communication systems will feature advanced, key technologies such
as large intelligent surfaces (LISs) composed of a very large number of antenna elements …