Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Alexander V. Veligosha"'
Autor:
Dmitrii Kaplun, Alexander Voznesensky, Alexander V. Veligosha, Igor A. Kalmykov, Kandarpa Kumar Sarma
Publikováno v:
IEEE Access, Vol 9, Pp 82402-82416 (2021)
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed algo
Externí odkaz:
https://doaj.org/article/158371f382d640d4af6e8ca1599c46b4
Autor:
Kandarpa Kumar Sarma, Alexander Voznesensky, Dmitrii I. Kaplun, Alexander V. Veligosha, Igor A. Kalmykov
Publikováno v:
IEEE Access, Vol 9, Pp 82402-82416 (2021)
The paper discusses adaptive filtering using Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms. An algorithm for adjusting the coefficients of an adaptive digital filter in the Residue Number System and a procedure of developed algo
Autor:
Alexander V. Veligosha, Dmitry Kaplun, D. V. Bogaevskiy, V. V. Gulvanskiy, Dmitry M. Klionskiy, Igor A. Kalmykov
Publikováno v:
Automatic Control and Computer Sciences. 51:167-173
The paper discusses an algorithm for correcting code errors of the residue number system using a positional characteristic. Application of parallel-pipeline computations of this positional characteristic allows us to reduce hardware costs by 7.2% for
Publikováno v:
FRUCT
In modern computing systems, one of the most commonly used algorithms for digital signal processing is digital filtering. Digital filters are implemented by various hardware. One of the main properties of any hardware structure is its fault tolerance
Autor:
Igor A. Kalmykov, V. V. Gulvanskiy, Dmitry Kaplun, Alexander S. Voznesenskiy, D. V. Bogaevskiy, Alexander V. Veligosha
Publikováno v:
2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The main advantage of adaptive digital filters is the minimum error of their output response. It is reached by recalculation of values of coefficients of the filter. The conducted researches have shown that the known algorithms of adjustment of coeff
Autor:
Alexander V. Veligosha, V. V. Gulvanskiy, Dmitry M. Klionskiy, Sergei A. Romanov, Dmitry Kaplun
Publikováno v:
2017 IEEE II International Conference on Control in Technical Systems (CTS).
The paper is devoted to modular digital filters including their use in hydroacoustic monitoring tasks. We describe software-defined technology. We provide the description of hydroacoustic monitoring tasks where modular filter application proves to be
Autor:
Ivan I. Kanatov, V. V. Gulvanskiy, Dmitry M. Klionskiy, D. V. Bogaevskiy, Dmitry Kaplun, Alexander V. Veligosha
Publikováno v:
2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
We show that hardware implementation of digital filters is accompanied by the problem connected with using a finite number of bits for representing coefficients, input data and interim results. This problem leads to the deterioration of magnitude res
Autor:
Dmitry M. Klionskiy, D. V. Bogaevskiy, Dmitry Kaplun, Alexander V. Veligosha, V. V. Gulvanskiy, N. Yu. Bratchenko
Publikováno v:
2017 Progress In Electromagnetics Research Symposium - Spring (PIERS).
The paper is devoted to developing an efficient technique of data representation in the modular code, which is based on the analysis of modular code structures. The suggested technique allowed us to use the “ring” property of modular codes. The t
Autor:
Elena Doynikova, Alexander V. Veligosha, Pavel A. Lyakhov, Denis N. Butusov, Sergey Aryashev, Dmitry Kaplun
Publikováno v:
Applied Sciences
Volume 10
Issue 1
Volume 10
Issue 1
The applications of digital filters based on finite field algebra codes require their conjugation with positional computing structures. Here arises the task of algorithms and structures developed for converting the positional notation codes to finite
Autor:
Vyacheslav V. Gulvanskii, Valerii Y. Ostrovskii, Dmitry Kaplun, Denis N. Butusov, Alexander V. Veligosha
Publikováno v:
Electronics, Vol 7, Iss 12, p 372 (2018)
Electronics
Volume 7
Issue 12
Electronics
Volume 7
Issue 12
This paper introduces a method for optimizing non-recursive filtering algorithms. A mathematical model of a non-recursive digital filter is proposed and a performance estimation is given. A method for optimizing the structural implementation of the m