Abstract
This paper addresses the characterization of independent and non-Gaussian sources in a linear mixture. We present an eigensystem based approach to determine the number of independent components in the signal received by a single sensor. The temporal structure of the sources is also characterized using fourth-order statistics. © Springer-Verlag 2004.
Cite
CITATION STYLE
Hornillo-Mellado, S., Puntonet, C. G., Martín-Clemente, R., Rodríguez-Álvarez, M., & Górriz, J. M. (2004). Characterization of the sources in convolutive mixtures: A cumulant-based approach. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 586–593. https://doi.org/10.1007/978-3-540-30110-3_75
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