Paper Abstract and Keywords |
Presentation |
2010-03-09 08:30
Oversampling Sigma-Delta Cellular Neural Networks using MASH Masatake Hirano (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sci.), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.) NLP2009-157 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation
utilizing neuro dynamics. Also, it has signal reconstruction and noise shaping characteristics that are important sigma-delta
properties. Although the noise shaping eect with the oversampling technique plays very important role for drastic quantization
noise reduction in binary digital sequences, the conventional SD-CNN could not use it eectively due to the fact that an
oversampling factor of the SD-CNN has been undissolved mathematically. In this paper, a novel SD-CNN with the oversampling
technique having second order noise shaping property by multi-stage noise shaping (MASH) is proposed. Moreover,
the oversampling factor of SD-CNN is demonstrated mathematically. Experimental results of various standard test images in
several oversampling ratios suggest that the proposed oversampling SD-CNN has an excellent AD and DA performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Σ-Δmodulator / Oversampling / Cellular Neural Network / Image Reconstraction / Multi-stage noise shaping / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 458, NLP2009-157, pp. 1-4, March 2010. |
Paper # |
NLP2009-157 |
Date of Issue |
2010-03-02 (NLP) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NLP2009-157 |
Conference Information |
Committee |
NLP |
Conference Date |
2010-03-09 - 2010-03-10 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2010-03-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Oversampling Sigma-Delta Cellular Neural Networks using MASH |
Sub Title (in English) |
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Keyword(1) |
Σ-Δmodulator |
Keyword(2) |
Oversampling |
Keyword(3) |
Cellular Neural Network |
Keyword(4) |
Image Reconstraction |
Keyword(5) |
Multi-stage noise shaping |
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1st Author's Name |
Masatake Hirano |
1st Author's Affiliation |
Sophia University graduate school (Sophia Univ.) |
2nd Author's Name |
Hisashi Aomori |
2nd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Sci.) |
3rd Author's Name |
Tsuyoshi Otake |
3rd Author's Affiliation |
Tamagawa University (Tamagawa Univ.) |
4th Author's Name |
Mamoru Tanaka |
4th Author's Affiliation |
Sophia University (Sophia Univ.) |
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Speaker |
Author-1 |
Date Time |
2010-03-09 08:30:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2009-157 |
Volume (vol) |
vol.109 |
Number (no) |
no.458 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2010-03-02 (NLP) |
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