Direction Finding Using GHA Neural Networks
This paper adapted the neural network for the estimating of the direction of arrival (DOA). It uses an unsupervised adaptive neural network with GHA algorithm to extract the principal components that in turn, are used by Capon method to estimate the DOA, where by the PCA neural network we take sig...
Enregistré dans:
Auteur principal: | N. H. Abbas |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Al-Khwarizmi College of Engineering – University of Baghdad
2017
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c8f3a72fdec44a29a67afcaa68d0fd16 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Direction Finding Using GHA Neural Networks
par: N. H. Abbas
Publié: (2006) -
Human Face Recognition Using GABOR Filter And Different Self Organizing Maps Neural Networks
par: Dr. Tarik Zeyad
Publié: (2017) -
Multi-Dimensional Angle of Arrival Estimation by Circular Phased Adaptive Array Antennas
par: Bassim Sayed Mohammed
Publié: (2017) -
Control of Omni-Directional Mobile Robot Motion
par: Iman Ahmed, et autres
Publié: (2010) -
Fuzzy Wavenet (FWN) classifier for medical images
par: Walid .A. Mahmoud, et autres
Publié: (2017)