A novel hybrid cuckoo search-extreme learning machine approach for modulation classification
This paper presents a novel hybrid extreme learning machine (ELM) with cuckoo search
algorithm (CSA) for the classification purposes of the digitally modulated signals, such as …
algorithm (CSA) for the classification purposes of the digitally modulated signals, such as …
Random Graph‐Based M‐QAM Classification for MIMO Systems
Automatic modulation classification (AMC) has been identified to perform a key role to
realize technologies such as cognitive radio, dynamic spectrum management, and …
realize technologies such as cognitive radio, dynamic spectrum management, and …
Csa-assisted gabor features for automatic modulation classification
Automatic modulation classification (AMC) is a process of automatic detection of modulation
format imposed on the received signal with no prior information (carrier, signal power, phase …
format imposed on the received signal with no prior information (carrier, signal power, phase …
Classification of M-QAM and M-PSK signals using genetic programming (GP)
With the popularity of software-defined radio and cognitive radio-technologies in wireless
communication, radio frequency devices have to adapt to changing conditions and adjust its …
communication, radio frequency devices have to adapt to changing conditions and adjust its …
[Retracted] Artificial Bee Colony Based Gabor Parameters Optimizer (ABC‐GPO) for Modulation Classification
S AlJubayrin, M Sarfraz, SA Ghauri… - Computational …, 2022 - Wiley Online Library
Modulation classification is one of the essential requirements in the various cognitive radio
applications where prior information about the incoming signal is unknown. The modulation …
applications where prior information about the incoming signal is unknown. The modulation …
Reverse engineering of communications networks: evolution and challenges
M Teimouri, HK Motlagh - arxiv preprint arxiv:1704.05432, 2017 - arxiv.org
Reverse engineering of a communications network is the process of identifying the
communications protocol used in the network. This problem arises in various situations such …
communications protocol used in the network. This problem arises in various situations such …
KNN based classification of digital modulated signals
SA Ghauri - IIUM Engineering Journal, 2016 - journals.iium.edu.my
Demodulation process without the knowledge of modulation scheme requires Automatic
Modulation Classification (AMC). When receiver has limited information about received …
Modulation Classification (AMC). When receiver has limited information about received …
[PDF][PDF] Genetic Algorithm Assisted Support Vector Machine for M-QAM Classification.
Accepted: 3 September 2020 Automatic modulation classification (AMC) has wide spread
applications in today's communication system. AMC has vast applications both in military as …
applications in today's communication system. AMC has vast applications both in military as …
A novel approach for automatic modulation classification via hidden Markov models and Gabor features
In this paper, a novel approach is proposed for classification of pulse amplitude modulated
(PAM) and quadrature amplitude modulated (QAM) signals. The automatic modulation …
(PAM) and quadrature amplitude modulated (QAM) signals. The automatic modulation …
Optimized Classification of Intelligent Reflecting Surface (IRS)-Enabled GEO Satellite Signals
The intelligent reflecting surface (IRS) is a cutting-edge technology for cost-effectively
achieving future spectrum-and energy-efficient wireless communication. In particular, an IRS …
achieving future spectrum-and energy-efficient wireless communication. In particular, an IRS …