most citedDetermination of signal-to-noise ratio on the base of information-entropic analysis

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

physics.gen-ph2017

Nonlinear fractal meaning of the Hubble constant

Zeinulla Zhanabaev, Serik Khokhlov, Aldiyar Agishev

According to astrophysical observations value of recession velocity in a certain point is proportional to a distance to this point. The proportionality coefficient is the Hubble co…

cond-mat.mes-hall2017

Effective parameters of porous layer in silicon cells

Zeinulla Zhanabaev, Kadyrzhan Dikhanbayev

Theoretically and experimentally we have proved the existence of optimal thickness of the porous layer used as an anti-reflection coating in solar cells. We have taken into account…

q-bio.NC2016★ 1 cited

Nonlinear Characteristics of Neural Signals

Z. Zh. Zhanabaev, T. Yu. Grevtseva, Y. T. Kozhagulov

The study is devoted to definition of generalized metrical and topological (informational entropy) characteristics of neural signals via their well-known theoretical models. We hav…

nlin.AO2016

Informational and entropic criteria of self-organization

Zeinulla Zh. Zhanabaev, Yeldos T. Kozhagulov, Serik A. Khokhlov

The work is devoted to study of the following problem: can we use any qualitative criteria for realization of such universal phenomenon as self-organization in open systems? We hav…

physics.data-an2016★ 3 cited

Determination of signal-to-noise ratio on the base of information-entropic analysis

Z. Zh. Zhanabaev, S. N. Akhtanov, E. T. Kozhagulov +1

In this paper we suggest a new algorithm for determination of signal-to-noise ratio (SNR). SNR is a quantitative measure widely used in science and engineering. Generally, methods…