Abstract
This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. In this work, the principles of the new method and a description of the algorithm are shown. © Springer-Verlag 2004.
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CITATION STYLE
Rodríguez Álvarez, M., Ruiz, F. R., Martín-Clemente, R., Ruiz, I. R., & Puntonet, C. G. (2004). Geometrical ICA-Based Method for blind separation of super-gaussian signals. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 350–357. https://doi.org/10.1007/978-3-540-30110-3_45
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