Paper Info
Title
Complex-Valued and Quaternion Neural Networks to Deal with Complex Amplitude and Polarization: Their Strength in Electronics
Abstract
This paper discusses the advantages in complex-valued and quaternion neural networks (CVNNs and QNNs) by presenting important concepts as well as applications in electronic engineering. Essentially, CVNNs and QNNs have excellent generalization ability in the learning of two- and three-dimensional rotation and scaling, respectively. Its origin is the sparsity in themselves as complex and quaternion numbers. The ability is useful in particular in adaptive processing of waves consisting of complex amplitude (amplitude and phase) and/or polarization. We consider an example in communications where we deal with channel prediction to discuss the superiority in CVNNs and its basics.
Year
DOI
Venue
2018
10.23919/APSIPA.2018.8659590
2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Keywords
Field
DocType
Biological neural networks,Physics,Quaternions,Task analysis,Estimation,Channel estimation
Topology,Computer science,Quaternion,Communication channel,Polarization (waves),Complex amplitude,Electronics,Artificial neural network,Scaling,Amplitude
Conference
ISSN
ISBN
Citations 
2309-9402
978-9-8814-7685-2
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Akira Hirose1218.41