Abstract
Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware implementable machine learning techniques. This may enable some error correction at the speed required.
Original language | English |
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Title of host publication | In: Procs of the Artificial Neural Networks and Intelligent Information Processing Workshop (ANNIP 2008) |
Publisher | INSTICC (Inst. Syst. Technologies Information Control and Communication) |
Pages | 71-79 |
ISBN (Print) | 978-989-8111-33-3 |
Publication status | Published - 2008 |