Template design for cellular nonlinear networks with 1-bit weights

M. Laiho; A. Paasio; Jacek Flak; K. A. I. Halonen

doi:10.1109/TCSI.2008.916438

Template design for cellular nonlinear networks with 1-bit weights

M. Laiho, A. Paasio, Jacek Flak, K. A. I. Halonen

Research output: Contribution to journal › Article › Scientific › peer-review

17 Citations (Scopus)

Abstract

In this paper, we show how a cellular nonlinear network with 1-bit weight programmability can be used for processing black and white image data. When using such a binary-programmable network, some templates need to be processed algorithmically, in other words, divided into subtasks that are processed consecutively. We classify templates into groups based on their properties and give guidelines as to how the division into subtasks (when applicable) is performed. A large collection of templates suitable for the proposed model is shown. We also describe one possible cell structure that realizes the binary-programmable model. The cell is modeled with Matlab and selected template simulations are shown.

Original language	English
Pages (from-to)	904 - 913
Number of pages	10
Journal	IEEE Transactions on Circuits and Systems I: Regular Papers
Volume	55
Issue number	3
DOIs	https://doi.org/10.1109/TCSI.2008.916438
Publication status	Published - 2008
MoE publication type	A1 Journal article-refereed

Keywords

Analog processing circuits
Cellular neural networks (CNNs)
Image processing
Parallel architectures
Threshold logic

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10.1109/TCSI.2008.916438

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title = "Template design for cellular nonlinear networks with 1-bit weights",

abstract = "In this paper, we show how a cellular nonlinear network with 1-bit weight programmability can be used for processing black and white image data. When using such a binary-programmable network, some templates need to be processed algorithmically, in other words, divided into subtasks that are processed consecutively. We classify templates into groups based on their properties and give guidelines as to how the division into subtasks (when applicable) is performed. A large collection of templates suitable for the proposed model is shown. We also describe one possible cell structure that realizes the binary-programmable model. The cell is modeled with Matlab and selected template simulations are shown.",

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AU - Laiho, M.

AU - Paasio, A.

AU - Flak, Jacek

AU - Halonen, K. A. I.

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Y1 - 2008

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AB - In this paper, we show how a cellular nonlinear network with 1-bit weight programmability can be used for processing black and white image data. When using such a binary-programmable network, some templates need to be processed algorithmically, in other words, divided into subtasks that are processed consecutively. We classify templates into groups based on their properties and give guidelines as to how the division into subtasks (when applicable) is performed. A large collection of templates suitable for the proposed model is shown. We also describe one possible cell structure that realizes the binary-programmable model. The cell is modeled with Matlab and selected template simulations are shown.

KW - Analog processing circuits

KW - Cellular neural networks (CNNs)

KW - Image processing

KW - Parallel architectures

KW - Threshold logic

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JO - IEEE Transactions on Circuits and Systems I: Regular Papers

JF - IEEE Transactions on Circuits and Systems I: Regular Papers

IS - 3

ER -

Template design for cellular nonlinear networks with 1-bit weights

Abstract

Keywords

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