Results 251 to 260 of about 450,675 (283)

Automatic Modulation Classification in the Presence of Interference

2019 European Conference on Networks and Communications (EuCNC), 2019
A modulation recognition method based on a con-volutional neural network (CNN) architecture is assessed through classification of synthetic baseband signals in the presence of a second interfering signal source. The complexity and adaptability of CNNs is leveraged so as to forgo statistical feature extraction procedures and efficiently classify based ...
P. Triantaris, E. Tsimbalo, W. H. Chin, D. Gunduz   +3 more
openaire   +2 more sources

Spatial light modulator for texture classification

Applied Optics, 1989
This paper describes a hybrid computer-optical processor devoted to the analysis of texture. Textures are displayed on a spatial light modulator and their power spectra are calculated optically by a Fourier optical technique. A video camera and a computer with a frame digitizer process the power spectra.
J, Haggerty, M, Young
openaire   +2 more sources

Image Classification Based on IndCRNN Module

Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing, 2020
As a core of computer vision, image classification has become a hot topic in recent years. RNN framework can not only model sequence data, predict the trend of sequence data, but also show good results in image classification. In this paper, an improved model IndCRNN is proposed for the over-fitting phenomenon of Independent Recurrent Neural Network ...
openaire   +1 more source

On Signal Phase Based Modulation Classification

2011 IEEE International Conference on Communications (ICC), 2011
We consider a phase based maximum likelihood (ML) approach for identifying the modulation format of a linearly modulated signal. Since the optimal ML scheme is computationally intensive, we propose two approximate ML alternatives derived from Gauss quadrature rules.
Qinghua Shi, Yoshio Karasawa
openaire   +1 more source

A set of features for classification of intrapulse modulations

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
In modern electronic warfare environments radar emitters intentionally modify their pulse repetition intervals and intra-pulse parameters in specific patterns called modulation. While pulse repetition interval modulation serves for a hidden functional purpose of the emitter, intra-pulse modulation also known as pulse compression techniques makes it ...
openaire   +1 more source

A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing

IEEE Transactions on Neural Networks and Learning Systems, 2022
Shengliang Peng, Yu-Dong Yao, Shujun Sun   +2 more
exaly  

Signal Modulation Classification Based on the Transformer Network

IEEE Transactions on Cognitive Communications and Networking, 2022
Jingjing Cai, Fengming Gan, Xianghai Cao   +2 more
exaly  

Risk-adapted modulation through de-intensification of cancer treatments: an ESMO classification

Annals of Oncology, 2022
Dario Trapani, H J Burstein, D F Hayes
exaly  

Automatic Modulation Classification in Deep Learning

2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2022
Khawla A. Alnajjar, Sara Ghunaim, Sam Ansari   +2 more
openaire   +1 more source

CNN-Based Automatic Modulation Classification for Beyond 5G Communications

IEEE Communications Letters, 2020
Ade Pitra Hermawan, Rizki Rivai Ginanjar, Dong-Seong Kim   +2 more
exaly