Add to ORKGWe compare performance of several machine learning methods, including support vector machine, k-nearest neighbours, k-means clustering, and Gaussian mixture model, used for increasing transmission reach in the optical communication system based on the periodic nonlinear Fourier transform signal processin
Nonlinear effects provide inherent limitations in fiber optical communications. Here, the authors ex...
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article dis...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
We compare performance of several machine learning methods, including support vector machine, k-near...
We apply both the unsupervised and supervised machine learning (ML) methods, in particular, the k-me...
In the current development of coherent optical communication systems, nonlinear noise is considered ...
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optica...
The future demand for digital information will exceed the capabilities of current optical communicat...
Fiber nonlinearities from Kerr effect are considered as major constraints for enhancing the transmis...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Nonlinear Fourier transform (NFT) based transmission technique relies on the integrability of the no...
In this work we introduce the periodic nonlinear Fourier transform (PNFT) and propose a proof-of-con...
Nonlinear effects provide inherent limitations in fiber optical communications. Here, the authors ex...
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article dis...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
We compare performance of several machine learning methods, including support vector machine, k-near...
We apply both the unsupervised and supervised machine learning (ML) methods, in particular, the k-me...
In the current development of coherent optical communication systems, nonlinear noise is considered ...
We propose a method to improve the performance of the nonlinear Fourier transform (NFT)-based optica...
The future demand for digital information will exceed the capabilities of current optical communicat...
Fiber nonlinearities from Kerr effect are considered as major constraints for enhancing the transmis...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Nonlinear Fourier transform (NFT) based transmission technique relies on the integrability of the no...
In this work we introduce the periodic nonlinear Fourier transform (PNFT) and propose a proof-of-con...
Nonlinear effects provide inherent limitations in fiber optical communications. Here, the authors ex...
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article dis...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...