Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

Sparse polynomial chaos expansions (PCE) are a popular surrogate modelling method that
takes advantage of the properties of PCE, the sparsity-of-effects principle, and powerful …

This paper proposes an off-grid channel estimation scheme for orthogonal time-frequency
space (OTFS) systems adopting the sparse Bayesian learning (SBL) framework. To avoid …

Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …

Direction of arrival (DOA) estimation is a classical problem in signal processing with many
practical applications. Its research has recently been advanced owing to the development of …

Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …

Sparse Bayesian learning (SBL) has become a popular approach for direction-of-arrival
(DOA) estimation, but its computational complexity for Bayesian inference is quite high …

Regularization has been one of the most popular approaches to prevent overfitting in
electroencephalogram (EEG) classification of brain-computer interfaces (BCIs). The …

Orthogonal time frequency space (OTFS) modulation has superior performance than
traditional orthogonal frequency division multiplexing (OFDM) in fast time-varying scenarios …

Time-dependent reliability and sensitivity analysis, in which the nature of demand, capacity
and the limit state function varies over the life cycle of the structural system, is a challenging …