Equalization techniques using a simplified bilinear recursive polynomial perceptron with decision feedback

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2001, Pages 2883-2888

  Choi, S ^a   Ko, K ^a   Hong, D ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DIGITAL COMMUNICATION SYSTEMS; INTERSYMBOL INTERFERENCE; NEURAL NETWORKS; PHASE SHIFT; QUADRATURE AMPLITUDE MODULATION; SIGNAL RECEIVERS; TRANSMITTERS; WHITE NOISE;

ADAPTIVE BILINEAR POLYNOMIAL FILTER; BLIND EQUALIZATION TECHNIQUES; SIMPLIFIED BILINEAR RECURSIVE POLYNOMIAL PERCEPTRON;

SIGNAL FILTERING AND PREDICTION;

EID: 0034856528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Optimum mean-square decision feedback equalizer
2. Adaptive cancellation of nonlinear intersymbol interference for voiceband data transmission
3. Adaptive polynomial filters
4. A RLS bilinear filter for channel equalization
5. Nonlinear multilayer combining techniques for Bayesian equalizers uaing the radial basis function network as a digital storage channel equalizer
6. Equalization using the bilinear recursive polynomial perceptron with decision feedback
7. A method of self-recovering equalization for multi-level amplitude modulation
8. Self-recovering equalization and carrier tracking in two dimensional data communication systems
9. A new approach to multipath correction of constant modulus signals
10. New processing techniques based on the constant modulus adaptive algorithm
11. Blind predictive decision-feedback equalization via the constant modulus algorithm