Geodesic
On restoration of noise component in data sequences by a singular spectrum analysis method
Problemy fiziki, matematiki i tehniki, no. 3 (2011), pp. 113-118

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The technique and results of research of sequences of data with uniform, normal and exponential noise by transformation a Singular Spectrum Analysis method are presented. The pecularities of restoration of noise component in sequences of data are shown, the algorithm of updating restored noise component in view of a standard deviation is offered.
Keywords: SSA-method, time sequence data, uniform, normal, exponential distribution; correction. 
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     author = {E. A. Yakimau and O. M. Demidenko and D. M. Albkeirat},
     title = {On restoration of noise component in data sequences by a singular spectrum analysis method},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {113--118},
     publisher = {mathdoc},
     number = {3},
     year = {2011},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2011_3_a19/}
}
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E. A. Yakimau; O. M. Demidenko; D. M. Albkeirat. On restoration of noise component in data sequences by a singular spectrum analysis method. Problemy fiziki, matematiki i tehniki, no. 3 (2011), pp. 113-118. http://geodesic.mathdoc.fr/item/PFMT_2011_3_a19/