DocumentCode
385915
Title
Computer aided analysis of channel state and transition in transmitted symbol for the channel hc(z)=0.5+1.0z-1 at noise variance 0.40
Author
Singh, Jasvir
Author_Institution
Dept. of Electron. Technol., Guru Nanak Dev Univ., Amritsar, India
Volume
2
fYear
2002
fDate
2002
Firstpage
551
Abstract
Fuzzy logic is only one of a whole range of emerging technologies, which are present at forefront of the user-friendly revolution. Fuzzy models are increasingly being applied in varying degrees to deal with different aspects of complex systems. Fuzzy logic is a popular modern technique used to improve the performance of intelligent electronic systems. It provides the modeling of reasoning schemes based on uncertain or imprecise information. Fuzzy technology is restructuring information technology, where it provides decision support and expert systems with powerful reasoning capabilities bounded by a minimum set of rules. Fuzzy sets are regarded as the vehicles devoted to capture, represent and process vagueness and thus allow us to cope with diverse phenomena exhibiting non-clearly defined boundaries. This paper deals computer aided analysis of channel state and transition in transmitted symbol for the channel hc(z)=0.5+1.0z-1 at noise variance 0.40 for the application of fuzzy logic to channel equalization in data communication systems.
Keywords
channel estimation; computer aided analysis; data communication; equalisers; fuzzy logic; fuzzy set theory; intersymbol interference; noise; telecommunication computing; ISI; channel equalization; channel noise variance; channel state; computer aided analysis; data communication systems; decision support systems; expert systems; fuzzy logic; fuzzy models; fuzzy sets; fuzzy technology; imprecise information; information technology; intelligent electronic systems; inter-symbol interference; reasoning capabilities; reasoning scheme modeling; transmitted symbol transition; uncertain information; Computer aided analysis; Expert systems; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Information technology; Intelligent systems; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN
0-7803-7690-0
Type
conf
DOI
10.1109/APCCAS.2002.1115334
Filename
1115334
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