A novel (differential) entropy estimator is introduced where the maximum entropy bound is
used to approximate the entropy given the observations, and is computed using a numerical …

In this paper, we introduce a novel independent component analysis (ICA) algorithm, which
is truly blind to the particular underlying distribution of the mixed signals. Using a …

Heart rate (HR) estimation using photoplethysmography (PPG) has drawn increasing
attention in the field of wearable technology due to its advantages with higher degree of …

We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal
processing such that all computations can be directly carried out in the complex domain. The …

We first present a new (differential) entropy estimator for complex random variables by
approximating the entropy estimate using a numerically computed maximum entropy bound …

Eye blink artifacts and power line noise always disturb the electroencephalograms (EEG)
recorded on the scalp and pose serious problems in its signal analysis and interpretation. In …

We introduce a mutual information-based method for blind separation of statistically
independent source signals. The Pearson system is used as a parametric model. Starting …

A Riemannian manifold optimization strategy is proposed to facilitate the relaxation of the
orthonormality constraint in a more natural way in the course of performing independent …

In this paper we present a new algorithm using a merger of Independent Component
Analysis and Translation Invariant Wavelet Transform. The efficacy of this algorithm is …

Complex-valued signals arise frequently in applications as diverse as communications,
radar, and biomedicine, as most practical modulation formats are of complex type and …