D. Klionskiy

发表

Ionospheric parameter modelling and anomaly discovery by combining the wavelet transform with autoregressive models

Maksim Y. Ilyash, R. Al-Kasasbeh, O. Mandrikova, 2015 .

Development and study of demodulation techniques for frequency-modulated signals

V. V. Gulvanskiy, I. I. Kanatov, V. F. Lapizkiy, 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

Estimation of radio impulse parameters using the maximum likelihood method

D. Klionskiy, D. Kaplun, K. V. Vlasova, 2015 .

Multiscale variation model and activity level estimation algorithm of the Earth's magnetic field based on wavelet packets

M. Bogachev, O. Mandrikova, D. Klionskiy, 2018, Annales Geophysicae.

Vibrational and hydroacoustic signal processing in the frequency domain and its software-hardware implementation

A. M. Golubkov, A. Dorokhov, M. Kupriyanov, 2017, Pattern Recognition and Image Analysis.

Vibrational and hydroacoustic signal processing in the frequency domain and its software-hardware implementation

A. Dorokhov, M. Kupriyanov, D. Klionskiy, 2017, Pattern Recognition and Image Analysis.

Empirical Mode Decomposition for Signal Preprocessing and Classification of Intrinsic Mode Functions

D. Klionskiy, V. Geppener, D. Kaplun, 2018, Pattern Recognition and Image Analysis.

Estimation of geomagnetic field disturbance using the wavelet transform

O. Mandrikova, D. Klionskiy, V. Geppener, 2016, Pattern Recognition and Image Analysis.

Analyzing subtle features of natural time series by means of a wavelet-based approach

O. Mandrikova, D. Klionskiy, V. Geppener, 2012, Pattern Recognition and Image Analysis.

The Investigation of Machine Learning Methods in the Problem of Automation of the Sales Management Business-process

Natalya V. Razmochaeva, Dmitry M. Klionskiy, Vladimir V. Chernokulsky, 2018, 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS).

Simulator of Hydroacoustic Signals for a Complex System of Underwater Environment

D. M. Klionskiy, A. S. Voznesenskiy, D. I. Kaplun, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

Mathematical and software-hardware tools for modern hydroacoustic monitoring systems

D. M. Klionskiy, M. S. Kupriyanov, A. V. Dorokhov, 2015, 2015 IV Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations).

Bioengineering System for Prediction and Early Prenosological Diagnostics of Stomach Diseases based on Energy Characteristics of Bioactive Points with Fuzzy Logic

Dmitry M. Klionskiy, Riad Taha Al-Kasasbeh, Nikolay Korenevskiy, 2015 .

Analysis of the Earth's magnetic field variations on the basis of a wavelet-based approach

Dmitry M. Klionskiy, Riad Taha Al-Kasasbeh, Oksana Mandrikova, 2013, Digit. Signal Process..

Signal denoising based on empirical mode decomposition

D. M. Klionskiy, M. S. Kupriyanov, D. I. Kaplun, 2017 .

Numerical software algorithms for monitoring control processes and correcting health by synthesis of hybrid fuzzy rules of decision-making on the basis of changes in energetic characteristics of biologically active points

Dmitry M. Klionskiy, Florin Ionescu, Riad Taha Al-Kasasbeh, 2016, Int. J. Model. Identif. Control..

Application of harmonic wavelets to processing oscillating hydroacoustic signals

D. I. Kaplun, D. M. Klionskiy, V. V. Gulvanskiy, 2017, 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL).

Parallel-pipeline implementation of digital signal processing techniques based on modular codes

I. A. Kalmykov, D. M. Klionskiy, D. I. Kaplun, 2016, 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM).

Comparative Analysis of Approaches for Solving the Problem of Improving the Quality of Retail Trade Data by Artificial Intelligence

Anastasia S. Lopatina, Natalya V. Razmochaeva, Dmitry M. Klionskiy, 2020, 2020 9th Mediterranean Conference on Embedded Computing (MECO).

Research of Dimension Reduction Algorithms of Feature Space in Data Analysis Task

Dmitry M. Klionskiy, Nikita V. Popov, D. Klionskiy, 2020, 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).