Special Issue on Mathematics and Digital Signal Processing
Source abstract
Abstract
Modern computer technology has opened up new opportunities for the development of digital signal processing methods [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Advanced Adaptive Filtering Techniques · Blind Source Separation Techniques · Control Systems and Identification
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Affiliations
Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol 355017, Russia
Department of Modular Computing and Artificial Intelligence, North-Caucasus Center for Mathematical Research, Stavropol 355017, Russia
References (10)
Show source-provided references
1. Kaplun, D., Aryashev, S., Veligosha, A., Doynikova, E., Lyakhov, P., and Butusov, D. (2020). Improving Calculation Accuracy of Digital Filters Based on Finite Field Algebra. Appl. Sci., 10.10.3390/app10010045 ↗
2. Pyko, N.S., Pyko, S.A., Markelov, O.A., Mamontov, O.V., and Bogachev, M.I. (2020). Quantification of the Feedback Regulation by Digital Signal Analysis Methods: Application to Blood Pressure Control Efficacy. Appl. Sci., 10.10.3390/app10010209 ↗
3. Chervyakov, N., Lyakhov, P., Babenko, M., Lavrinenko, I., Deryabin, M., Lavrinenko, A., Nazarov, A., Valueva, M., Voznesensky, A., and Kaplun, D. (2020). A Division Algorithm in a Redundant Residue Number System Using Fractions. Appl. Sci., 10.10.3390/app10020695 ↗
4. Lim, J. (2020). Maximum Correntropy Criterion Based l1-Iterative Wiener Filter for Sparse Channel Estimation Robust to Impulsive Noise. Appl. Sci., 10.10.3390/app10030743 ↗
5. Chervyakov, N., Lyakhov, P., and Nagornov, N. (2020). Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging. Appl. Sci., 10.10.3390/app10041223 ↗
6. Kaplun, D., Voznesensky, A., Romanov, S., Andreev, V., and Butusov, D. (2020). Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System. Appl. Sci., 10.10.3390/app10093097 ↗
7. Kaplun, D., Golovin, M., Sufelfa, A., Sachenkov, O., Shcherbina, K., Yankovskiy, V., Skrebenkov, E., Markelov, O.A., and Bogachev, M.I. (2020). Three-Dimensional (3D) Model-Based Lower Limb Stump Automatic Orientation. Appl. Sci., 10.10.3390/app10093253 ↗
8. Dehghan Firoozabadi, A., Irarrazaval, P., Adasme, P., Zabala-Blanco, D., Durney, H., Sanhueza, M., Palacios-Játiva, P., and Azurdia-Meza, C. (2020). Multiresolution Speech Enhancement Based on Proposed Circular Nested Microphone Array in Combination with Sub-Band Affine Projection Algorithm. Appl. Sci., 10.10.3390/app10113955 ↗
9. Klishkovskaia, T., Aksenov, A., Sinitca, A., Zamansky, A., Markelov, O.A., and Kaplun, D. (2020). Development of Classification Algorithms for the Detection of Postures Using Non-Marker-Based Motion Capture Systems. Appl. Sci., 10.10.3390/app10114028 ↗
10. Yang, Y., Zhou, X., Liu, Y., Hu, Z., and Ding, F. (2020). Wood Defect Detection Based on Depth Extreme Learning Machine. Appl. Sci., 10.10.3390/app10217488 ↗