Analog VLSI and neural systems
Analog VLSI and neural systems
Analog VLSI systems for image acquisition and fast early vision processing
International Journal of Computer Vision - Special issue: VLSI for computer vision
Realization of the “weak rod” by a double layer parallel network
Neural Computation
Light-adaptive architectures for regularization vision chips
Neural Networks
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Multi-input floating gate differential amplifier (FGDA) is proposed which can perform any convolution operation with differential structure and feedback loop. All operations are in the voltage mode. Only one terminal is required for the negative feedback which can suppress distortions due to mismatches of active elements. Possible applications include intelligent image sensor, where fully parallel DCT operation can be performed. A prototype chip is fabricated which is functional. A preliminary test result is reported.