| Title: | L(P) NORM BACK-PROPAGATION ALGORITHM FOR ADAPTIVE EQUALIZATION |
| Authors: | SIU, S CHANG, CH WEI, CH 電控工程研究所 Institute of Electrical and Control Engineering |
| Issue Date: | 1-Sep-1995 |
| Abstract: | The l(p) norm back propagation algorithm for perceptron based adaptive equalization is analyzed taking account of possible numerical problem encountered when p < 1. Two methods are proposed to overcome the numerical problem. Computer simulations indicate that simultaneous improvement in convergence rate and bit-error-rate (BER) performance can be achieved by using p < 2. |
| URI: | http://dx.doi.org/10.1109/82.466644 http://hdl.handle.net/11536/1739 |
| ISSN: | 1057-7130 |
| DOI: | 10.1109/82.466644 |
| Journal: | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING |
| Volume: | 42 |
| Issue: | 9 |
| Begin Page: | 604 |
| End Page: | 607 |
| Appears in Collections: | Articles |
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- L(P) NORM BACK-PROPAGATION ALGORITHM FOR ADAPTIVE EQUALIZATION / SIU, S;CHANG, CH;WEI, CH
- ON THE CONVERGENCE OF THE L(P)-NORM ALGORITHM FOR POLYNOMIAL PERCEPTRON HAVING DIFFERENT ERROR SIGNAL DISTRIBUTIONS / CHANG, CH;SIU, S;WEI, CH
- ADAPTIVE PACKET EQUALIZATION FOR INDOOR RADIO CHANNEL USING MULTILAYER NEURAL NETWORKS / CHANG, PR;YEH, BF;CHANG, CC
- A polynomial-perceptron based decision feedback equalizer with a robust learning algorithm / Chang, CH;Siu, S;Wei, CH
- Environment-adaptation mobile radio propagation prediction using radial basis function neural networks / Chang, PR;Yang, WH
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