DocumentCode
2534265
Title
Subthreshold implementation of a 2D CNN Gabor-type focal plane filter
Author
Shi, B.E.
Author_Institution
Dept. Electr. & Electron. Eng., Hong Kong Univ. of Sci & Technol., Kowloon
fYear
2000
fDate
2000
Firstpage
69
Lastpage
72
Abstract
We describe the implementation of a focal plane CNN array for computing the outputs of orientation selective filters similar to Gabor filters using weak inversion transistor circuits. Both the scale and the orientation selectivity of the filter can be tuned electronically. We exploit the concept of the transistor as a pseudo-conductance or diffuser and use current, rather than voltage to represent signals of interest. This design enables energy efficient computation of the filter responses. Test results from a 12×14 pixel array fabricated in 1.2 μm technology are presented
Keywords
cellular neural nets; computational complexity; image processing; transistor circuits; 1.2 mum; 12 pixel; 14 pixel; 168 pixel; 2D CNN Gabor-type focal plane filter; diffuser; energy efficient computation; focal plane CNN array; orientation selective filters; orientation selectivity; pseudo-conductance; scale selectivity; subthreshold implementation; transistor; weak inversion transistor circuits; Band pass filters; Cellular neural networks; Circuit testing; Cost function; Energy efficiency; Filter bank; Frequency; Gabor filters; Pixel; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location
Catania
Print_ISBN
0-7803-6344-2
Type
conf
DOI
10.1109/CNNA.2000.876822
Filename
876822
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