Analysis and synthesis of double-layer MOSFET networks for smart sensory systems

Access Full Text

Analysis and synthesis of double-layer MOSFET networks for smart sensory systems

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

An analysis method to find the natural response of double-layer planar lattice networks is found and its stability discussed. Following the proposed approach, a new circuit able to perform feature extraction at the sensory level by means of a convolution with a Gabor-like kernel is synthesised. The circuit, based on MOS transistors working in the subthreshold region, has been simulated and successfully compared with theoretical expectations. Its main features are the compactness, low-power and full programmability of the convolutional kernel.

Inspec keywords: image processing equipment; network analysis; VLSI; analogue processing circuits; convolution; image sensors; CMOS analogue integrated circuits; circuit stability; network synthesis; feature extraction; intelligent sensors

Other keywords: Gabor-like kernel; programmability; analysis method; feature extraction; planar lattice networks; natural response; subthreshold region; smart sensory systems; low-power operation; convolution; synthesis method; stability; double-layer MOSFET networks

Subjects: Analogue processing circuits; Image sensors; CMOS integrated circuits; Optical information, image and video signal processing; Pattern recognition and computer vision equipment; General circuit analysis and synthesis methods; Analogue circuits

References

    1. 1)
      • G.M. Bisio , L. Raffo , S.P. Sabatini . Analog VLSI primitives for perceptual tasksin machine vision. Neural Comput. Appl., Special issue on MachineVision
    2. 2)
      • T.D. Sanger . Stereo disparity computation using Gabor filters. Biol. Cybern. , 405 - 418
    3. 3)
      • H. Kobayashi , J.L. White , A.A. Abidi . An active resistor network for Gaussianfiltering of images. IEEE J. Solid State Circuits , 738 - 748
    4. 4)
      • Arreguit, X., Vittoz, E.A.: `Perception systems implemented in analog VLSI forreal-time applications', Proc. PerAc'94 Conf.: ‘From Perception toAction’, 5–9 September 1994, Lausanne.
    5. 5)
      • L. Raffo . Analysis and synthesis of resistive networks for distributed visual elaborations. Electron. Lett. , 8 , 743 - 744
    6. 6)
      • E.A. Vittoz . Analog VLSI signal processing: Why, where, and how?. J. VLSI Signal Process. , 27 - 44
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19981413
Loading

Related content

content/journals/10.1049/el_19981413
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading