L.I. Dvoiris

2026

1. Some methods of digital processing of sparse signals Radioengineering, No. 2, 2026 pp. 26-32

2025

1. Adaptation of the ADC to the dynamic range of the signal Radioengineering, No. 2, 2025 pp. 12-15
2. Solving the problem of detection based on compressed measurements of signals Radioengineering, No. 2, 2025 pp. 5-11

2023

1. An approach to the construction of radio engineering systems with Compressed Sensing signals Radioengineering, No. 2, 2023 pp. 34-40
2. Formation and restoration of sparse signals for the purpose of their compression Radioengineering, No. 2, 2023 pp. 11-17

2022

1. Possibilities of application of nuclear functions for approximation of two-dimensional densities of probability distribution of parameters of random signals Radioengineering, No. 1, 2022 pp. 16-20
2. Nonparametric method for estimating one-dimensional probability distribution densities of experimental data Radioengineering, No. 1, 2022 pp. 11-15

2021

1. Implementation of criteria for detecting and distinguishing signals in the MathCAD environment Radioengineering, No. 2, 2021 pp. 44-49
2. Possibilities of applying Compressive Sensing methods in detection tools Radioengineering, No. 2, 2021 pp. 39-43
3. Huang-Hilbert transform and application in signal processing of seismic detection tools Radioengineering, No. 2, 2021 pp. 33-38

2020

1. Interference signals of passive detection devices and their probabilistic properties Radioengineering, No. 2, 2020 pp. 20-23
2. Signal and interference simulation model for testing detection systems Radioengineering, No. 2, 2020 pp. 14-19

2019

1. Choosing the optimal combination of cores and complex algorithms to develop systems for detection and recognition of moving objects by seismic signals Radioengineering, No. 2, 2019 pp. 44-51
2. Method of increasing noise immunity of seismic detection means Radioengineering, No. 2, 2019 pp. 40-43
3. The criterion of energy detection of objects based on the analysis of the parameters of the distribution law of centered and normalized background signals Radioengineering, No. 2, 2019 pp. 34-39

2018

1. Bayesian analysis of false alarms flow from detection tools Radioengineering, No. 2, 2018 pp. 13-16
2. Effective method of selection of informative features in pattern recognition Radioengineering, No. 2, 2018 pp. 10-12
3. Detecting characteristics of the detection and recognition subsystems for an arbitrary number of object classes Radioengineering, No. 2, 2018 pp. 6-9

2017

1. Effective method of selection of informative features in pattern recognition Radioengineering, No. 1, 2017 pp. 53-55
2. Monte-Carlo methods in problems of development recognition subsystems Radioengineering, No. 1, 2017 pp. 49-52

2015

1. The possibility of constructing invariant feature space of seismic detection signals in the time and frequency domains Radioengineering, No. 3, 2015 pp. 24-27

2013

1. Results field tests on the stability of modern means of detecting to weathering disturbances Radioengineering, No. 2, 2013 pp. 95-97
2. Selection of kernel parameters and parameter method for nonlinear classifiers Radioengineering, No. 2, 2013 pp. 83-86

2012

1. Estimation of Accuracy and Reliability of Recognition of Objects on Signals Seismic Detection Method SVM in time and Frequency Areas Radioengineering, No. 1, 2012 pp. 12-16

2010

1. Formation of Space of Signs of Seismic Signals in Frequency Area Radioengineering, No. 2, 2010 pp. 90-92
2. Iterative Method of Support Vector Machines (SVM) in Classification Problems Radioengineering, No. 2, 2010 pp. 86-89