Paper Abstract and Keywords |
Presentation |
2009-03-10 13:00
A Hardware Inplementable Model of Sigma-Delta Cellular Neural Network Hisashi Aomori, Yuki Naito, Mamoru Tanaka (Sophia Univ.) NLP2008-155 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The sigma-delta cellular neural network (SD-CNN) is a complete framework of a spatial domain sigma-delta modulator, and has a very
high image reconstruction (AD-to-DA) performance.
In this architecture, the A-template given by a 2-D low pass filter (LPF) is used for a digital to
analogue converter (DAC), the C-template works as an integrator, and the nonlinear output function is for the bilevel output.
By exploiting to the nonlinear optimization ability of CNN spatio-temporal dynamics, optimal binary and reconstruction image
can be obtained.
However, in the conventional SD-CNN, the Gaussian LPF, whose coefficients are real number, is used as the A-template.
This filter coefficients requirement is one of major factors that restricts a hardware implementation.
In this paper, to deal with abovementioned limitation difficulty, a standard 2-D LPF is used for the A-template, and the effectiveness
of the proposed method is confirmed by the experimental results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sigma-Delta Modulator / Cellular Neural Network / Hardware-Friendly Model / Image Reconstruction / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 477, NLP2008-155, pp. 25-30, March 2009. |
Paper # |
NLP2008-155 |
Date of Issue |
2009-03-03 (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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NLP2008-155 |
Conference Information |
Committee |
NLP |
Conference Date |
2009-03-10 - 2009-03-11 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2009-03-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Hardware Inplementable Model of Sigma-Delta Cellular Neural Network |
Sub Title (in English) |
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Keyword(1) |
Sigma-Delta Modulator |
Keyword(2) |
Cellular Neural Network |
Keyword(3) |
Hardware-Friendly Model |
Keyword(4) |
Image Reconstruction |
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1st Author's Name |
Hisashi Aomori |
1st Author's Affiliation |
Sophia University (Sophia Univ.) |
2nd Author's Name |
Yuki Naito |
2nd Author's Affiliation |
Sophia University (Sophia Univ.) |
3rd Author's Name |
Mamoru Tanaka |
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Sophia University (Sophia Univ.) |
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Speaker |
Author-1 |
Date Time |
2009-03-10 13:00:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2008-155 |
Volume (vol) |
vol.108 |
Number (no) |
no.477 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2009-03-03 (NLP) |
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