DOAJ Open Access 2024

Deep learning as a highly efficient tool for digital signal processing design

Andrey Pryamikov

Abstrak

Abstract The backpropagation algorithm, the most widely used algorithm for training artificial neural networks, can be effectively applied to the development of digital signal processing schemes in the optical fiber transmission systems. Digital signal processing as a deep learning framework can lead to a new highly efficient paradigm for cost-effective digital signal processing designes with low complexity.

Topik & Kata Kunci

Applied optics. Photonics Optics. Light

Penulis (1)

Andrey Pryamikov

Format Sitasi

APA MLA BibTeX

Pryamikov, A. (2024). Deep learning as a highly efficient tool for digital signal processing design. https://doi.org/10.1038/s41377-024-01599-8

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1038/s41377-024-01599-8
Akses: Open Access ✓