Inverse updated systolic RLS algorithm with regularized exponential forgetting
Jan Schier (1996)
Kybernetika
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Jan Schier (1996)
Kybernetika
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Petr Tichavský, Zbyněk Koldovský (2011)
Kybernetika
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This paper presents a survey of recent successful algorithms for blind separation of determined instantaneous linear mixtures of independent sources such as natural speech or biomedical signals. These algorithms rely either on non-Gaussianity, nonstationarity, spectral diversity, or on a combination of them. Performance of the algorithms will be demonstrated on separation of a linear instantaneous mixture of audio signals (music, speech) and on artifact removal in electroencephalogram...
Andrej Magyar, Arild Lacroix (1990)
Kybernetika
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Witold Andrzejewski, Artur Gramacki, Jarosław Gramacki (2013)
International Journal of Applied Mathematics and Computer Science
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The Probability Density Function (PDF) is a key concept in statistics. Constructing the most adequate PDF from the observed data is still an important and interesting scientific problem, especially for large datasets. PDFs are often estimated using nonparametric data-driven methods. One of the most popular nonparametric method is the Kernel Density Estimator (KDE). However, a very serious drawback of using KDEs is the large number of calculations required to compute them, especially...