<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The paper deals with the design of a new digital CNN (Cellular Neural Network) architecture for pattern recognition. The main parameters of the new design were the area consumption of the chip and the speed of calculation in one iteration. The CNN was designed as a digital synchronous circuit. The largest area of the chip belongs to the multiplication unit. In the new architecture we replaced the parallel multiplication unit by a simple AND gate performing serial multiplication. The natural property of this method of multiplication is rounding. We verified some basic properties of the proposed CNN such as edge detection, filling of the edges and noise removing. At the end we compared the designed network with other two CNNs. The new architecture allows to save till 86% gates in comparison with CNN with parallel multipliers.</p></abstract>

The paper deals with the design of a new digital CNN (Cellular Neural Network) architecture for pattern recognition. The main parameters of the new design were the area consumption of the chip and the speed of calculation in one iteration. The CNN was designed as a digital synchronous circuit. The largest area of the chip belongs to the multiplication unit. In the new architecture we replaced the parallel multiplication unit by a simple AND gate performing serial multiplication. The natural property of this method of multiplication is rounding. We verified some basic properties of the proposed CNN such as edge detection, filling of the edges and noise removing. At the end we compared the designed network with other two CNNs. The new architecture allows to save till 86% gates in comparison with CNN with parallel multipliers.

New Digital Architecture of CNN for Pattern Recognition

Department of Microelectronics, Slovak University of Technology, Ilkovičova 3, 812 19 Bratislava, Slovakia

Journal of Electrical Engineering

{"article-title":"New Digital Architecture of CNN for Pattern Recognition"}

The paper deals with the design of a new digital CNN (Cellular Neural Network) architecture for pattern recognition. The main parameters of the new design were...

New Digital Architecture of CNN for Pattern Recognition

Online veröffentlicht: 07. Juni 2011

Seitenbereich: 222 - 228

DOI: https://doi.org/10.2478/v10187-010-0031-6

Schlüsselwörter
CNN, digital circuit, area consumption, pattern recognition

This content is open access.

New Digital Architecture of CNN for Pattern Recognition

Online veröffentlicht: 07. Juni 2011

Seitenbereich: 222 - 228

DOI: https://doi.org/10.2478/v10187-010-0031-6

SchlüsselwörterCNN, digital circuit, area consumption, pattern recognition

This content is open access.

Schlüsselwörter
CNN, digital circuit, area consumption, pattern recognition