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Unsupervised Learning of Higher-Order Statistics (1999)

Luo, Fa-Long ; Unbehauen, Rolf ; Ndjountche, Tertulien

Springer

Neural processing letters 9 (1999), S. 249-255

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ISSN: 1573-773X

Keywords: unsupervised learning ; high-order statistics ; adaptive signal processing ; blind signal processing ; tensors

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract This paper deals with the adaptive extraction of higher-order statistics of related signals. We will show how to use higher-order neural networks to adaptively extract the higher-order cumulant matrices and tensors with an invariant weight norm. This proposed scheme can serve as an alternative tool in many application fields with higher-order statistics.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1018608005199

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