ICA
2007
Springer
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 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
14 years 1 months ago
2007
Springer
ICA
2007
Springer
14 years 1 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...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
In this work, we deal with blind source separation of a class of nonlinear mixtures. The proposed method can be regarded as an adaptation of the solutions developed in [1, 2] to th...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...