Simulation of digital filter banks and signal classification in wideband monitoring tasks. - Dmitry M. Klionskiy; Dmitry I. Kaplun; Vyacheslav V. Gulvanskiy; Alexander S. Voznesenskiy (Autom. Control. Comput. Sci., 2015)

Structural and Informational Diversity of Digital Filters Based on Multivariate Arithmetic of Finite Field. - Alexander V. Veligosha; Dmitrii I. Kaplun; Alexander S. Voznesenskiy; D. V. Bogaevskiy (FRUCT, 2019)

Implementation of Smoothing Image Filtering in the Residue Number System. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Nikolay N. Nagornov; Dmitrii I. Kaplun; Alexander S. Voznesenskiy; Danil V. Bogayevskiy (MECO, 2019)

Adaptive Signal Processing Algorithms Based on EMD and ITD. - Alexander S. Voznesenskiy; Dmitry I. Kaplun (IEEE Access, 2019)

Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Sergei Romanov; Erivelton Geraldo Nepomuceno; Denis N. Butusov (Entropy, 2019)

Method of Oriented Contour Detection on Image Using Lorentz Function. - Pavel Alekseevich Lyakhov; Albina S. Abdulsalyamova; Maria R. Kiladze; Dmitrii I. Kaplun; Alexander S. Voznesensky (MECO, 2020)

Method for Determining Skin Lesions from Images Using Neural Network. - Uliana A. Lyakhova; Pavel Alekseevich Lyakhov; Nikolay I. Chervyakov; Dmitrii I. Kaplun; Alexander S. Voznesensky (MECO, 2020)

Design Reverse Converter for Balanced RNS with Three Low-cost Modules. - Pavel Alekseevich Lyakhov; Maxim V. Bergerman; Nataliya Semyonova; Dmitrij I. Kaplun; Alexander S. Voznesensky (MECO, 2021)

A New Method of Sign Detection in RNS Based on Modified Chinese Remainder Theorem. - Pavel Alekseevich Lyakhov; Maria V. Valueva; Dmitry I. Kaplun; Alexander S. Voznesensky (MECO, 2021)

Technique to Adjust Adaptive Digital Filter Coefficients in Residue Number System Based Filters. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Alexander V. Veligosha; Igor Anatolyevich Kalmykov; Kandarpa Kumar Sarma (IEEE Access, 2021)

On the Computational Complexity of 2D Filtering by Winograd Method. - Pavel Alekseevich Lyakhov; Albina S. Abdulsalyamova; Nataliya Semyonova; Nikolay N. Nagornov; Alexander S. Voznesensky; Dmitrii I. Kaplun (MECO, 2022)

Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions. - Pavel Alekseevich Lyakhov; Diana I. Kalita; Aleksandr M. Sinitca; Alexander S. Voznesensky (MECO, 2022)

Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images. - Pavel Alekseevich Lyakhov; Alexander S. Voznesensky; Evgeniy D. Shalugin; Anzor R. Orazaev; Valentina A. Baboshina (MECO, 2022)

Denoising Chaotic Signals Using Ensemble Intrinsic Time-Scale Decomposition. - Alexander S. Voznesenskiy; Denis N. Butusov; Vyacheslav G. Rybin; Dmitry I. Kaplun; Timur I. Karimov; Erivelton Geraldo Nepomuceno (IEEE Access, 2022)

Mesh denoising in prosthetics manufacturing applications using average filtering, linear heat diffusion and bilateral filtering. - Dmitry I. Kaplun; Alexander S. Voznesenskiy; Alisa Sufelfa; Vyacheslav G. Rybin; Olga I. Brikova (MECO, 2023)

A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values. - Pavel A. Lyakhov; Maxim V. Bergerman; Ruslan Abdulkadirov; Albina S. Abdulsalyamova; Nikolay N. Nagornov; Alexander S. Voznesenskiy; Dmitrii V. Minenkov; Dmitrii I. Kaplun (Microprocess. Microsystems, 2023)

Effective Hardware Implementation of Convolution with Binary Sequences. - Dmitrii V. Minenkov; Alexander S. Voznesensky; Dianhui Wang 001; Dmitrii I. Kaplun (MECO, 2024)

SERAU-Net: Snapshot Ensemble-Aided Region-Aware Attention-Based U-Net for Skin Lesion Segmentation. - Sujan Sarkar; Saptarshi Pani; Alexander S. Voznesensky; Dmitrij I. Kaplun; Ram Sarkar (SIPAIM, 2024)