Abstract
Reduction of bit error rates in optical transmission systems
is an important task that is difficult to achieve. As speeds increase, the
difficulty in reducing bit error rates also increases. Channels have differing
characteristics, which may change over time, and any error correction
employed must be capable of operating at extremely high speeds. In this
paper, a linear support vector machine is used to classify large-scale
data sets of simulated optical transmission data in order to demonstrate
their effectiveness at reducing bit error rates and their adaptability to
the specifics of each channel. For the classification, LIBLINEAR is used,
which is related to the popular LIBSVM classifier. It is found that is
possible to reduce the error rate on a very noisy channel to about 3 bits
in a thousand. This is done by a linear separator that can be built in
hardware and can operate at the high speed required of an operationally
useful decoder
is an important task that is difficult to achieve. As speeds increase, the
difficulty in reducing bit error rates also increases. Channels have differing
characteristics, which may change over time, and any error correction
employed must be capable of operating at extremely high speeds. In this
paper, a linear support vector machine is used to classify large-scale
data sets of simulated optical transmission data in order to demonstrate
their effectiveness at reducing bit error rates and their adaptability to
the specifics of each channel. For the classification, LIBLINEAR is used,
which is related to the popular LIBSVM classifier. It is found that is
possible to reduce the error rate on a very noisy channel to about 3 bits
in a thousand. This is done by a linear separator that can be built in
hardware and can operate at the high speed required of an operationally
useful decoder
| Original language | English |
|---|---|
| Title of host publication | ICANNGA 2013, Procs 11th Int Conf |
| Publisher | Springer Nature |
| Pages | 438-445 |
| ISBN (Electronic) | 978-3-642-37213-1 |
| ISBN (Print) | 978-3-642-37212-4 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | ICANNGA 2013, 11th Int Conf - Lausanne, Switzerland Duration: 4 Apr 2013 → 6 Apr 2013 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 7824 |
Conference
| Conference | ICANNGA 2013, 11th Int Conf |
|---|---|
| Country/Territory | Switzerland |
| City | Lausanne |
| Period | 4/04/13 → 6/04/13 |