Least Bit Error Rate Adaptive Nonlinear Equalizers for Binary Signalling
The paper considers the problem of constructing adaptive minimum bit error rate (MBER) neural network equalizers for binary signalling. Motivated from a kernel density estimation of the bit error rate (BER) as a smooth function of training data, a stochastic gradient algorithm called the least bit e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2003-02.
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| Subjects: | |
| Online Access: | Get fulltext Get fulltext |