Now showing items 1-4 of 4
Deep long short-term memory networks-based automatic recognition of six different digital modulation types under varying noise conditions
(Springer London Ltd, 2019)
In this paper, a new method based on deep learning has been proposed in order to recognize noise-digital modulation signals at varying noise levels automatically. The 8-bit data from six different modulations have been ...
A novel demodulation system for base band digital modulation signals based on the deep long short-term memory model
(Elsevier Sci Ltd, 2020)
For high-frequency digital signals to be transmitted over long distances, the basic digital signal needs to be modulated with a high-frequency carrier. In this case, the baseband digital signal is called the pass-band ...
Automatic determination of digital modulation types with different noises using Convolutional Neural Network based on time-frequency information
In this study, a novel digital modulation classification model has been proposed for automatically recognizing six different modulation types including amplitude shift keying (ASK), frequency shift keying (FSK), phase-shift ...
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands of people have lost their lives to this disease. ...