Machine learning techniques to mitigate nonlinear impairments in optical fiber system
PJ Freire de Carvalho Souza - 2022 - publications.aston.ac.uk
The upcoming deployment of 5/6G networks, online services like 4k/8k HDTV (streamers
and online games), the development of the Internet of Things concept, connecting billions of …
and online games), the development of the Internet of Things concept, connecting billions of …
[PDF][PDF] Design, Development and Performance Evaluation of LDPC Coder on Feed-Forward Neural Network for Image and Audio Decoding
DJ Patel - gtusitecirculars.s3.amazonaws.com
In a given communication system, noise acts as a vital parameter because it degrades the
signal level at the receiver, and owing to this, the signal is not recovered properly or …
signal level at the receiver, and owing to this, the signal is not recovered properly or …
[PDF][PDF] MENTOR Machine LEarning in optical NeTwORks A European Industrial Doctorate [EC GA 956713]
LZ Khan, AB Terki, MD UPC, AT ORA, ML ORA… - mentor.astonphotonics.uk
This deliverable focuses on the implementation of specific functionalities of the control plane
for multi-band optical networks. First, the open GNPy quality of transmission estimator tool is …
for multi-band optical networks. First, the open GNPy quality of transmission estimator tool is …
[PDF][PDF] Dynamic Prediction of Parallel CA-CFAR Processing Performance on Large Datasets
The constant false alarm rate (CFAR) detection theory maintains good decision performance
over statistical interference. For imagery applications, this class of detectors increases the …
over statistical interference. For imagery applications, this class of detectors increases the …