Blind source separation (BSS) and independent component analysis (ICA) are generally
based on a wide class of unsupervised learning algorithms and they found potential …

This paper describes several important methods for the blind source separation of audio
signals in an integrated manner. Two historically developed routes are featured. One started …

This paper addresses the determined blind source separation problem and proposes a new
effective method unifying independent vector analysis (IVA) and nonnegative matrix …

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

In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms.
Depending on the exact application, different distortions can be allowed between an …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

This paper presents stable and fast update rules for independent vector analysis (IVA)
based on auxiliary function technique. The algorithm consists of two alternative updates: 1) …

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

Blind source separation (BSS) is a challenging problem in real-world environments where
sources are time delayed and convolved. The problem becomes more difficult in very …

Acoustic signals recorded simultaneously in a reverberant environment can be described as
sums of differently convolved sources. The task of source separation is to identify the …