Paper Info
Title
Neuro-fuzzy logic in signal processing for communications: from bits to protocols
Abstract
The present work shows how communication systems benefit from fuzzy logic. From signal processing applications, which process bits at the physical layer in order to face complicate problems of non-Gaussian noise, to practical and robust implementations of these systems and up to higher layers in the communication chain, which are engaged in the protocol design. The ability for modeling uncertainty with a reasonable trade-off between complexity and model accuracy, makes fuzzy logic a promising tool.
Year
DOI
Venue
2005
10.1007/11613107_2
NOLISP
Keywords
Field
DocType
signal processing,gaussian noise,physical layer,fuzzy logic,communication system,neuro fuzzy
Fuzzy electronics,Signal processing,Neuro-fuzzy,Data transmission,Computer science,Fuzzy logic,Communications system,Physical layer,Artificial intelligence,Fuzzy control system,Computer engineering,Distributed computing
Conference
Volume
ISSN
ISBN
3817
0302-9743
3-540-31257-9
Citations 
PageRank 
References 
0
0.34
16
Authors
4
Name
Order
Citations
PageRank
Ana I. Pérez-Neira140152.50
Miguel Angel Lagunas25413.75
Antoni Morell313921.57
Joan Bas473.52