Results 221 to 230 of about 17,994 (253)

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 0162   +2 more
openaire   +2 more sources

Automatic Modulation Recognition: An FPGA Implementation

IEEE Communications Letters, 2022
Satish Kumar, Rajarshi Mahapatra, Anurag Singh 0002   +2 more
openaire   +1 more source

An adaptive neural network approach for automatic modulation recognition

2017 51st Annual Conference on Information Sciences and Systems (CISS), 2017
This paper presents a novel adaptive approach to automatic modulation recognition (AMR) using artificial neural networks (ANN). Two types of features have been combined to ensure the robustness of detection for all types of modulations. An adaptive system of feature extraction and neural network is designed to distinguish the target modulation between ...
Yasaman Ettefagh, Mohammad Hossein Moghaddam, Sajjad Eghbalian   +2 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   +2 more sources

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

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   +2 more sources

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

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

Digital Signal Processing, 2022
Chunbo Luo, Jialang Xu, Fuxin Zhang
exaly  

The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Taotao Li, Bo Chen, Zhen Hong
exaly