Recurrent radial basis function networks for optimal symbol-by-symbol equalization

Signal Processing

Volumn 40, Issue 1, 1994, Pages 53-63

  Cid Sueiro, Jesús ^a   Artés Rodríguez, Antonio ^b   Figueiras Vidal, Aníbal R ^c  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Blind equalization; Neural equalizers; Optimal detection; Soft decision

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; DIGITAL COMMUNICATION SYSTEMS; EQUALIZERS; MATHEMATICAL MODELS; OPTIMAL SYSTEMS;

DELAYED DECISIONS; NONGAUSSIAN CHANNEL EQUALIZATION; OPTIMAL SYMBOL BY SYMBOL EQUALIZATION; RECURRENT RADIAL BASIS FUNCTION NETWORKS;

SIGNAL DISTORTION;

EID: 0028528963     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-1684(94)90021-3     Document Type: Article

References (16)

1. Pao networks for data transmission equalization
2. Two novel non-linear approaches to channel equalization in digital communications
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4. Optimal symbol-by-symbol and sequential nonlinear channel equalizers using neural network structures
5. Recurrent radial basis function networks for optimal blind equalization
6. Improving conventional equalizers with neural networks
7. Optimal blind equalization of Gaussian channels
8. The application of nonlinear structures to the reconstruction of binary signals
9. Optimal sequence detection and optimal symbol-by-symbol detection: Similar algorithms
10. Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection
11. Optimal variable-step LMS look-up-table plus transversal filter nonlinear echo cancellers
12. A fast RLS look-up-table plus FIR adaptive echo cancellers