ICA
2007
Springer
13 years 10 months ago
2007
Springer
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
We present a robust algorithm for independent component analysis that uses the sum of marginal quadratic negentropies as a dependence measure. It can handle arbitrary source densit...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In this paper, a variant of the well known algorithm FastICA is proposed to be used for blind source separation in off-line (block processing) setup and a noisy environm...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beamforming (ABF) with multichannel blind deconvolution (M...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the p...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In this paper, we investigate the importance of the high frequencies in the problem of convolutive blind source separation (BSS) of speech signals. In particular, we focu...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to find a basis in which a given random vector can be decomposed into groups of mutually independent rando...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
ICA
2007
Springer
13 years 10 months ago
2007
Springer
A common problem in independent component analysis after prewhitening is to optimize some contrast on the orthogonal or unitary group. A popular approach is to optimize the contras...