Multiple channel crosstalk removal using limited connectivity neural networks
Limited connectivity neural network architectures are investigated for the removal of crosstalk in systems using mutually overlapping sub-channels for the communication of multiple signals, either analogue or digital. The crosstalk error is modelled such that a fixed proportion of the signals in adj...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
1996
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/1903/ |