Blind Source Separation Techniques

This cluster of papers focuses on blind source separation and independent component analysis, with applications in signal decomposition, biomedical signals, and processing of convolutive mixtures. The methods often utilize sparse representation and exploit the temporal structure of the signals, particularly in the frequency domain.

Journals publishing in this area

1

IEEE Transactions on Signal Processing

ISSN 1053-587X3,013 articles in this topic

366h-index

4.58Impact

17.8KArticles

994.7KCitations

2

Neurocomputing

ISSN 0925-2312794 articles in this topic

253h-index

4.10Impact

26.9KArticles

791.9KCitations

3

IEEE Transactions on Information Theory

ISSN 0018-9448753 articles in this topic

443h-index

1.68Impact

20.2KArticles

1.4MCitations

4

IEEE Transactions on Biomedical Engineering

ISSN 0018-9294728 articles in this topic

309h-index

3.65Impact

15.5KArticles

690.2KCitations

5

IEEE Transactions on Communications

IEEE Transactions on Communications

ISSN 0090-6778642 articles in this topic

309h-index

4.41Impact

17.7KArticles

699.7KCitations

6

IEEE Transactions on Neural Networks

ISSN 1045-9227431 articles in this topic

265h-index

3.8KArticles

465.3KCitations

7

Neural Networks

ISSN 0893-6080359 articles in this topic

246h-index

4.61Impact

9.8KArticles

469.1KCitations

8

Neural Computation

ISSN 0899-7667327 articles in this topic

247h-index

2.31Impact

3.8KArticles

491.1KCitations