IEICE TRANSACTIONS on Electronics
An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference
Summary :
The neural network equalization for polytopic multiplexing holography is studied to reduce interpixel interference. The bit error rate performance of the bilinear or bicubic interpolator followed by a neural network as an equalizer is obtained by computer simulation. The results show that the neural network equalizer provides an SNR improvement of about 1.0 dB over conventional equalization.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E90-C No.8 pp.1612-1618
- Publication Date
- 2007/08/01
- Publicized
- Online ISSN
- 1745-1353
- DOI
- 10.1093/ietele/e90-c.8.1612
- Type of Manuscript
- Special Section PAPER (Special Section on Recent Progress of High-Density Information Storage)
- Category
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Hisashi OSAWA, Naoki KAWAUE, Yoshihiro OKAMOTO, Yasuaki NAKAMURA, Hirotaka OCHI, Shoji MARUKAWA, "An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference" in IEICE TRANSACTIONS on Electronics,
vol. E90-C, no. 8, pp. 1612-1618, August 2007, doi: 10.1093/ietele/e90-c.8.1612.
Abstract: The neural network equalization for polytopic multiplexing holography is studied to reduce interpixel interference. The bit error rate performance of the bilinear or bicubic interpolator followed by a neural network as an equalizer is obtained by computer simulation. The results show that the neural network equalizer provides an SNR improvement of about 1.0 dB over conventional equalization.
URL: https://global.ieice.org/en_transactions/electronics/10.1093/ietele/e90-c.8.1612/_p
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@ARTICLE{e90-c_8_1612,
author={Hisashi OSAWA, Naoki KAWAUE, Yoshihiro OKAMOTO, Yasuaki NAKAMURA, Hirotaka OCHI, Shoji MARUKAWA, },
journal={IEICE TRANSACTIONS on Electronics},
title={An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference},
year={2007},
volume={E90-C},
number={8},
pages={1612-1618},
abstract={The neural network equalization for polytopic multiplexing holography is studied to reduce interpixel interference. The bit error rate performance of the bilinear or bicubic interpolator followed by a neural network as an equalizer is obtained by computer simulation. The results show that the neural network equalizer provides an SNR improvement of about 1.0 dB over conventional equalization.},
keywords={},
doi={10.1093/ietele/e90-c.8.1612},
ISSN={1745-1353},
month={August},}
Copy
TY - JOUR
TI - An Application of Neural Network Equalization to Polytopic Multiplexing Holography and Reduction of Interpixel Interference
T2 - IEICE TRANSACTIONS on Electronics
SP - 1612
EP - 1618
AU - Hisashi OSAWA
AU - Naoki KAWAUE
AU - Yoshihiro OKAMOTO
AU - Yasuaki NAKAMURA
AU - Hirotaka OCHI
AU - Shoji MARUKAWA
PY - 2007
DO - 10.1093/ietele/e90-c.8.1612
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E90-C
IS - 8
JA - IEICE TRANSACTIONS on Electronics
Y1 - August 2007
AB - The neural network equalization for polytopic multiplexing holography is studied to reduce interpixel interference. The bit error rate performance of the bilinear or bicubic interpolator followed by a neural network as an equalizer is obtained by computer simulation. The results show that the neural network equalizer provides an SNR improvement of about 1.0 dB over conventional equalization.
ER -
English
