The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 27-720
Full Name: Masatake Hirano
Position: Student
Age: ON
Sex: Male
Address: 7-1 Kioi-cho, Chiyoda-ku, Tokyo
Country: JAPAN
Tel: +81-3-3238-3878
Tel prefix:
Fax: +81-3-3238-3321
E-mail address: tottipanty@gmail.com
Other E-mails: hirano-m@hoffman.cc.sophia.ac.jp
Title of the Paper: The Sigma-Delta CNN with Second Order Noise Shaping Property
Authors as they appear in the Paper: Masatake Hirano, Hisashi Aomori, Tsuyoshi Otake, Mamoru Tanaka
Email addresses of all the authors: tottipanty@gmail.com, aomori@ieee.org, otake@ieee.org, Mamoru.Tanaka@gmail.com
Number of paper pages: 10
Abstract: In this paper, a novel spatial domain 2-D sigma-delta modulation using two-layered discrete-time cellular neural networks (DT-CNNs) with multi-stage noise shaping (MASH) property is proposed. Although the sigmadelta modulation is widely used for realizing of analog to digital converter (ADC), sigma-delta concepts are only for 1-D signals. Signal processing in the digital domain is extremely useful in 2-D signals such as image processing, medical imaging, ultrasound imaging and so on. In the proposed architecture, the A-template is used for a digital to analog converter (DAC), the C-template works as an integrator, and the nonlinear output function is used for the bilevel output. Besides, due to the CNN characteristic, each pixel of an image corresponds to the cell of CNN, and each cell is connected spatially by the A-template. Also, the multi stage noise shaping (MUSH) property, which is one of a very effective framework for a high order sigma-delta modulation, is !
exploited for realizing a second order sigma-delta modulator by cascade connected first-order CNN sigma-delta modulators.
Keywords: Celluler neural network, Sigma-delta modulation, Image reconstruction, Image halftoning, Second-order noise shaping
EXTENSION of the file: .pdf
Special (Invited) Session: A Second Order Sigma Delta Modulation by Cascaded Sigma Delta CNNs
Organizer of the Session: 591-268
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