Classification system for digital signal types using neuro fuzzy system and PSO

2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Volumn , Issue , 2009, Pages 373-378

  Khurshid, A A ^a   Gokhale, A P ^b  

^a PRIYADARSHINI COLLEGE OF ENGINEERING   (India)

^b VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Classification of communication signals; Higher order statistics; Particle swarm; Supervised learning

Indexed keywords

AUTOMATIC IDENTIFICATION; CLASSIFICATION SYSTEM; COMMUNICATION SIGNALS; DEGREE OF DISPERSION; DIGITAL SIGNALS; HIGH EFFICIENCY; HIGHER ORDER STATISTICS; NETWORK PARAMETERS; NEUROFUZZY SYSTEM; PARTICLE SWARM; STATISTICAL FEATURES; SWARM INTELLIGENCE; SWARM OPTIMIZER;

AUTOMATION; CELLULAR AUTOMATA; CLASSIFIERS; ELECTRONIC DATA INTERCHANGE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; IDENTIFICATION (CONTROL SYSTEMS); MILITARY APPLICATIONS; SIGNAL ANALYSIS; SUPERVISED LEARNING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77949613244     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2009.5393850     Document Type: Conference Paper

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