Nonlinear channel equalization for wireless communication systems using Legendre neural networks

Signal Processing

Volumn 89, Issue 11, 2009, Pages 2251-2262

  Patra, Jagdish C ^a   Meher, Pramod K ^b   Chakraborty, Goutam ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^c IWATE PREFECTURAL UNIVERSITY   (Japan)

Author keywords

Functional link neural network; Legendre neural network; Nonlinear channel equalization

Indexed keywords

BIT ERROR RATE PERFORMANCE; COMMUNICATION CHANNEL; COMPUTATIONAL ADVANTAGES; COMPUTATIONALLY EFFICIENT; CONVERGENCE RATES; FUNCTIONAL LINK NEURAL NETWORK; FUNCTIONAL LINKS; HIGHLY NONLINEAR; LEGENDRE; LEGENDRE FUNCTION; LEGENDRE NEURAL NETWORK; MULTI LAYER PERCEPTRON; NONLINEAR CHANNEL; NONLINEAR CHANNEL EQUALIZATION; PERFORMANCE CRITERION; POLYNOMIAL EXPANSION; QAM SIGNALS; TRIGONOMETRIC FUNCTIONS; WIRELESS COMMUNICATION SYSTEM;

CELLULAR TELEPHONE SYSTEMS; COMMUNICATION SYSTEMS; COMPUTATIONAL COMPLEXITY; EQUALIZERS; FUNCTION EVALUATION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; MEAN SQUARE ERROR; MOBILE COMPUTING; NEURAL NETWORKS; PRESSURE MEASUREMENT; STRAIN ENERGY; WIRELESS NETWORKS;

BIT ERROR RATE;

EID: 67349222081     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.05.004     Document Type: Article

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