Now showing items 1-2 of 2
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 ...
Classification of multi-carrier digital modulation signals using NCM clustering based feature-weighting method
(Elsevier Science Bv, 2019)
This work presents a novel digital modulation signal classification model by combining Neutrosophic c-means (NCM) based feature weighting (NCMBFW) and classifier algorithms. As the digital modulation signal, the multi-carrier ...