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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 e ect 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 e ectively 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
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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Conference Information
Committee NLP  
Conference Date 2010-03-09 - 2010-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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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)  
Keyword(1) Σ-Δmodulator  
Keyword(2) Oversampling  
Keyword(3) Cellular Neural Network  
Keyword(4) Image Reconstraction  
Keyword(5) Multi-stage noise shaping  
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 
Date of Issue 2010-03-02 (NLP) 

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