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DELTA
2002
IEEE

Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures

9 years 3 months ago
Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures
In the upcoming high transmission rate system, based on code division multiple access, standard multi-user detection methods are restricted because of performance and implementation complexity issues. To end up with this issue, self-organized neural networks are proposed. An optimal multi-user detector can be implemented, by using Growing Grid network.
Florent Carlier, Fabienne Nouvel, Jacques Citerne
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where DELTA
Authors Florent Carlier, Fabienne Nouvel, Jacques Citerne
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