منابع مشابه
A Learning Algorithm for the BlindSeparation of Non - zero Skewness
Neural computational approach to blind sources separation was rst introduced by Jutten and Herault 6], and further developed by others 9, 3, 7, 4]. Necessary and suucient conditions for the blind sources separation have been proposed by Cardoso 1], Tong et al 10, 11], and Common 5]. There have been diiculties of implementing necessary and suucient conditions by a neural network with no spurious...
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We present a new learning algorithm for the blind separation of independent source signals having non-zero skewness (the 3rd-order cumulant) (the source signals have non-symmetric probability distribution.), from their linear mixtures. It is shown that for a class of source signals whose probability distribution functions is not symmetric, a simple adaptive learning algorithm using quadratic fu...
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We present simulation results of the (2 + 1)d four-fermion model with a baryon chemical potential µ. We examine temporal correlation functions of the vector me-son, and find evidence of phonon-like behavior characterised by a linear dispersion relation in the long wavelength limit. We also discuss the consistency of our numerical results with analytical solutions to the Boltzmann equation corre...
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ژورنال
عنوان ژورنال: Physics Letters B
سال: 2017
ISSN: 0370-2693
DOI: 10.1016/j.physletb.2017.06.010