Results 241 to 250 of about 97,815 (271)

Automatic Modulation Recognition of Digital Signals Based on Fisherface

2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2017
This paper focuses on the design of dimensionality reduction based on Fisherface. We propose to apply the Fisherface algorithm in face recognition to automatic modulation recognition, and combine it with cyclic spectrum and k nearest neighbor classifier to realize the correct recognition of 9 kinds of modulation signals.
Shanshan Jin, Yun Lin 0005, Hui Wang
openaire   +1 more source

An automatic modulation recognition algorithm for spectrum monitoring applications

1999 IEEE International Conference on Communications (Cat. No. 99CH36311), 2003
An algorithm based on a decision-tree approach for the automatic modulation recognition of communications signals is presented. This algorithm can discriminate between continuous wave (CW), amplitude modulation (AM), double sideband suppressed carrier (DSB-SC), frequency modulation (FM), frequency shift keying (FSK), binary phase shift keying (BPSK ...
Christian Dubuc, Daniel Boudreau, François Patenaude, Robert J. Inkol   +3 more
openaire   +1 more source

Automatic Digital Modulation Recognition Based on ART2A-DWNN

2005
A novel automatic digital modulation recognition classifier combining adaptive resonance theory 2A (ART2A) with discrete wavelet neural network (DWNN), called ART2A-DWNN, is proposed in this paper. The modified ART2A network with a low vigilance parameter is used to categorize input modulation schemes into some classes and then DWNN is employed in each
Zhilu Wu, Xuexia Wang, Cuiyan Liu, Guanghui Ren   +3 more
openaire   +1 more source

Evaluation of Machine Learning Algorithms for Automatic Modulation Recognition

2015
Automatic modulation recognition (AMR) becomes more important because of usable in advanced general-purpose communication such as cognitive radio as well as specific applications. Therefore, developments should be made for widely used modulation types; machine learning techniques should be tried for this problem.
Muhammed Abdurrahman Hazar, Niyazi Odabasioglu, Tolga Ensari, Yusuf Kavurucu   +3 more
openaire   +1 more source

Modified ART2A-DWNN for Automatic Digital Modulation Recognition

2007
A modified ART2A-DWNN for automatic digital modulation recognition is proposed in this paper. Daubechies wavelet "db9" is chosen instead of "morlet" wavelet as the mother wavelet in ART2A-DWNN because of its compactness and orthonormality. Simulations have been carried out with the modulated signals corrupted by Gaussian noise to evaluate the ...
Xuexia Wang, Zhilu Wu, Yaqin Zhao, Guanghui Ren   +3 more
openaire   +1 more source

Automatic Modulation Recognition based on SE Module and CNN_ResNet

Applied and Computational Engineering
In response to the problem that most current automatic modulation recognition models cannot achieve high recognition rates while maintaining a certain training speed, this study proposes a neural network model based on depthwise separable convolution, residual connection, and channel attention mechanism.
openaire   +1 more source

Overview of Automatic Modulation Recognition Methods

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2023
Shaoxiong Xie, Jun Ye
openaire   +1 more source

Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition

IEEE Wireless Communications Letters, 2022
Shangao Lin, Yuan Zeng, Yi Gong
exaly  

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

IEEE Communications Letters, 2021
Fuxin Zhang, Chunbo Luo, Jialang Xu
exaly  

Deep learning based automatic modulation recognition: Models, datasets, and challenges

2022
Fuxin Zhang, Chunbo Luo, Jialang Xu
exaly