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- Article name
- DEVELOPMENT OF A NEURAL NETWORK FILTER ARCHITECTURE FOR DIGITAL RADIO SIGNALS
- Authors
- Sgibnev A. K., , zgiba12345@mail.ru, MIREA - Russian Technological University, Moscow, Russia
- Keywords
- digital radio signals / neural networks / neural network filtering / neural network architectures / radio signal modeling
- Year
- 2025 Issue 3 Pages 23 - 28
- Code EDN
- PLKRYL
- Code DOI
- 10.52190/1729-6552_2025_3_23
- Abstract
- The article proposes a modular neural network architecture for filtering digital radio signals, including an interference classifier, a controller and a set of filters designed to suppress various types of interference: additive white Gaussian noise (AWGN), phase noise, pulse and narrowband interference. Spectral analysis of the filtration results confirms the effectiveness of the proposed approach.
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