A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …

This review presents an overview of a challenging problem in auditory perception, the
cocktail party phenomenon, the delineation of which goes back to a classic paper by Cherry …

Electroencephalograms (EEGs) are becoming increasingly important measurements of
brain activity and they have great potential for the diagnosis and treatment of mental and …

What is this? These pages are a collection of facts (identities, approximations, inequalities,
relations,...) about matrices and matters relating to them. It is collected in this form for the …

We consider inference in a general data-driven object-based model of multichannel audio
data, assumed generated as a possibly underdetermined convolutive mixture of source …

This book provides an excellent reference for all professionals working in the area of array
signal processing and its applications in wireless communications. Wideband beamforming …

This work presents a novel method for learning a model that can diagnose Attention Deficit
Hyperactivity Disorder (ADHD), as well as Autism, using structural texture and functional …

In this paper, we describe a simple set of “recipes” for the analysis of high spatial density
EEG. We focus on a linear integration of multiple channels for extracting individual …

Machine learning offers a principled approach for developing sophisticated, automatic, and
objective algorithms for analysis of high-dimensional and multimodal biomedical data. This …

Blind source separation (BSS) for convolutive mixtures can be solved efficiently in the
frequency domain, where independent component analysis (ICA) is performed separately in …