DocumentCode :
2251153
Title :
A Programmable Digital Cellular Neural Network Processing On- and Off-Chip Sensory Information
Author :
Zeffer, Tamás S. ; Hidvérgi, Timót
Author_Institution :
Peter Pazmany Catholic Univ.
fYear :
2006
fDate :
28-30 Aug. 2006
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, the architecture of a mixed-signal CNN visual processor with on board photodetecting sensor array, analog RAM, and a switching matrix to process off chip sensor signals is proposed. In our design, the CMOS sensor array possesses high performance readout circuitry and embedded data storage capability. For further compactness, a new template memory structure is built that requires about quarter of silicon size compared to previous designs. The vision chip comprises most of the modules of a sensory system and keeps tight relationship between the sensors and the processor
Keywords :
CMOS image sensors; array signal processing; cellular neural nets; neural chips; CMOS sensor array; CNN visual processor; analog RAM; off-chip sensory information; on-chip sensory information; photodetecting sensor array; programmable digital cellular neural network; switching matrix; vision chip; CMOS technology; Cellular neural networks; Circuits; Neural networks; Optical arrays; Photodiodes; Random access memory; Read-write memory; Sensor arrays; Tellurium; CMOS APS; Cellular Neural Network; dark current; detector; digital emulated CNN-UM; image sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0640-4
Electronic_ISBN :
1-4244-0640-4
Type :
conf
DOI :
10.1109/CNNA.2006.341603
Filename :
4145843
Link To Document :
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