Add to ORKGWe report on the first successful application of one-shot machine learning scheme that identifies new modulation formats based on a single constellation diagram without re-training. 100% accuracy is achieved when expanding from 2 to 5 supported modulation formats
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Optical networks generate a vast amount of diagnostic, control and performance monitoring data. When...
Telecommunication systems have been through continuous evolution to keep up the fast-growing network...
Author name used in this publication: Faisal Nadeem Khan2011-2012 > Academic research: refereed > Pu...
[ANGLÈS] Next generation of optical networks will necessitate the use of advanced functionalities in...
Today?s telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Higher-order modulation schemes in optical communication systems that suffer from several impairment...
With the advent of deep learning (DL), various automatic modulation classification (AMC) methods usi...
Multimode fibers (MMF) are remarkable high-capacity information channels. However, the MMF transmiss...
This paper proposes and experimentally demonstrates a blind modulation format identification (MFI) m...
Autonomic optical transmission and networking requires machine learning (ML) models to be trained wi...
Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in...
In coherent optical communication systems, where multiple modulation formats are mixed and variable,...
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude mod...
Automatic modulation classification of wireless signals is an important feature for both military an...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Optical networks generate a vast amount of diagnostic, control and performance monitoring data. When...
Telecommunication systems have been through continuous evolution to keep up the fast-growing network...
Author name used in this publication: Faisal Nadeem Khan2011-2012 > Academic research: refereed > Pu...
[ANGLÈS] Next generation of optical networks will necessitate the use of advanced functionalities in...
Today?s telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
Higher-order modulation schemes in optical communication systems that suffer from several impairment...
With the advent of deep learning (DL), various automatic modulation classification (AMC) methods usi...
Multimode fibers (MMF) are remarkable high-capacity information channels. However, the MMF transmiss...
This paper proposes and experimentally demonstrates a blind modulation format identification (MFI) m...
Autonomic optical transmission and networking requires machine learning (ML) models to be trained wi...
Automatic Modulation Classification (AMC) is a rapidly evolving technology, which can be employed in...
In coherent optical communication systems, where multiple modulation formats are mixed and variable,...
Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude mod...
Automatic modulation classification of wireless signals is an important feature for both military an...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Optical networks generate a vast amount of diagnostic, control and performance monitoring data. When...
Telecommunication systems have been through continuous evolution to keep up the fast-growing network...