Name
Abstract | ||
|---|---|---|
In this paper, we introduce a nonlinear decision feedback equalizer (DFE) structure which decomposes the nonlinear equalization problem into feedback and feedforward parts, thus allows flexibility in the choice of suitable structures for a given problem and improves on the performance of the conventional DFE and the nonlinear equalizer proposed in [1]. We show that the given general structure for this DFE can be represented by a recurrent canonical piecewise linear (RCPL) network [2] and that it satisfies the dynamic properties given in [3]. |
Year | Venue | Keywords |
|---|---|---|
1998 | EUSIPCO | decision feedback equalisers,rcpl network,nonlinear decision feedback equalization,nonlinear equalizer,recurrent canonical piecewise linear network,simulation,neural networks |
Field | DocType | ISBN |
Equalizer,Nonlinear system,Equalization (audio),Control theory,Computer science,Nonlinear equalization,Artificial neural network,Piecewise linear function,Feed forward | Conference | 978-960-7620-06-4 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Demirekler, L. | 1 | 0 | 0.34 |
| Adah, T. | 2 | 0 | 0.34 |
| Xiao Liu | 3 | 992 | 84.21 |