Treffer: Ultra-wideband beamforming by using a complex-valued spatio-temporal neural network

Title:
Ultra-wideband beamforming by using a complex-valued spatio-temporal neural network
Source:
Neural information processing (Calcutta, 22-25 November 2004)Lecture notes in computer science. :104-109
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 6 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung, Indonesia
Department of Electrical and Electronics Engineering, The University of Tokyo, Japan
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16442884
Database:
PASCAL Archive

Weitere Informationen

We propose an ultra-wideband (UWB) beamforming technique by using a spatio-temporal complex-valued multilayer neural network (ST-CVMLNN). The complex-valued backpropagation through time (CV-BPTT) is employed as a learning algorithm. The system is evaluated with an ultra-wideband monocycle signal. Preliminary simulation results in suppression of UWB interferer and in steering for desired UWB signal, demonstrating the applicability of the proposed system.