Abstract: An architecture for the on-chip implementation of a compressive image encoder is presented. It is 100% compatible with standard CMOS image sensor architectures. It does not interfere with ...
Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...
In conventional frame-based image sensors, every pixel records brightness information and sends this information to a receiver serially in a scanning fashion. This full-frame readout approach suffers ...
Wearable devices are a fast-growing technology with impact on personal healthcare for both society and economy. Due to the widespread of sensors in pervasive and distributed networks, power ...
Department of Electrical and Computer Engineering, University of California, Los Angeles, California 90095, United States California NanoSystems Institute (CNSI), University of California, Los Angeles ...
This project presents the implementation of a MATLAB graphical user interface (GUI)-based approach to wirelessly control the movement of a robotic car. Commands to move the car in forward, reverse, ...
Abstract: A novel high-performance priority encoder design using standard CMOS library cell is proposed. The new encoder design implementation accommodates both high- and low-priority functionalities ...
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