Fluctuation metrology based on the Prony's spectroscopy (II)

Journal of Applied Nonlinear Dynamics

Volumn 1, Issue 3, 2012, Pages 207-226

  Nigmatullin, Raoul R ^a  

^a KAZAN FEDERAL UNIVERSITY   (Russian Federation)

Author keywords

Beta distribution function; Fluctuation metrology Prony's spectroscopy; Function; The generalized Pearsoncorrelation

Indexed keywords

EID: 84881056394     PISSN: 21646457     EISSN: 21646473     Source Type: Journal    
DOI: 10.5890/JAND.2012.06.001     Document Type: Article

References (6)

1. Timashev, S.F. and Polyakov, Yu. S. (2007), Review in Flicker-nose spectroscopy in electrochemistry, Fluctuation and Noise letters, 7, R15-R47
2. Nigmatullin, R.R., Osokin, S, I., and Toboev, V.A. (2011), NAFASS: Discrete spectroscopy of random signals, Chaos, Solitons and Fractals, 44, 226-240
3. Nigmatullin, R.R. (2012), Is it possible to replace the probability distribution function describing a random process by the, Prony's spectrum? (I) Journal of Applied Nonlinear Dynamics, 1, 173-194
4. Ciurea, M.L., Lazanu, S., Stavaracher, I., Lepadatu, A-M., Iancu V., Mitroi, M.R., Nigmatullin, R.R. and Baleanu, C.M. (2011), Stressed induced traps in multilayed structures, J. of Applied Phys., 109, 013717
5. Nigmatullin, R.R., Popov, I.I. and Baleanu, D. (2011), Predictions based on the cumulative curves: Basic principles and nontrivial example, Communications in Nonlinear Science and Numerical Simulation, 16, 895
6. Nigmatullin, R.R. (2010), Universal distribution function for the strongly-correlated fluctuations: general way for description of random sequences, Communications in Nonlinear Science and Numerical Simulation, 15, 637