scholarly journals Optimal signal processing algorithm at the background of non-Gaussian flicker noise

2019 ◽  
Vol 30 ◽  
pp. 04016 ◽  
Author(s):  
Alexander Parshin ◽  
Yury Parshin

The problem of receiving and processing ultra-low-power signals of information transmission systems is being solved. High requirements for energy efficiency on the one hand and a low information transfer rate allows the use of signals with a small spectrum width, including flicker noise spectral regions. A non-Gaussian flicker noise model is used based on a stochastic differential equation with a nonlinear drift coefficient. An optimal signal processing algorithm is being developed against the background of the sum of flicker noise and thermal noise based on an estimated-correlation-compensation approach. The analysis of the effectiveness of optimal signal processing against a background of non-Gaussian flicker noise and thermal noise is carried out.

2015 ◽  
Vol 20 (4) ◽  
pp. 39-44
Author(s):  
O. Sytnik ◽  
◽  
S. Masalov ◽  
G. Pochanin

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