Analog VLSI on-chip learning Neural Networks represent a mature technology for a large number of applications involving industrial as well as consumer appliances. This is particularly the case when low power consumption, small size and/or very high speed are required. This approach exploits the computational features of Neural Networks, the implementation efficiency of analog VLSI circuits and the adaptation capabilities of the on-chip learning feedback schema. High-speed video cameras are powerful tools for investigating for instance the biomechanics analysis or the movements of mechanical parts in manufacturing processes. In the past years, the use of CMOS sensors instead of CCDs has enabled the development of high-speed video cameras offering digital outputs, readout flexibility, and lower manufacturing costs. In this paper, we propose a high-speed smart camera based on a CMOS sensor with embedded Analog Neural Network.
Abstract-The method of Integrated Circuit (IC) Design using Electronic Design Automation (EDA) tools consists of (i) Full Custom IC Design and (ii)Automated IC Design. Schematicdriven layout on EDA tools has provided to facilitate designer madelayout design before fabrication, the core is to make it easier,faster, and short time consuming. Therefore in this paper will explain the process of make analog layout to redesign for multiplier circuit which is part of the cell of Analog neural network by using SDL. This circuit is designed using SDL with semi-Automated design method and 0,35 µm CMOS technology (Abstract)
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