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Machine Learning For Analog/Mixed-Signal Integrated Circuit Design Automation, Weidong Cao
Machine Learning For Analog/Mixed-Signal Integrated Circuit Design Automation, Weidong Cao
McKelvey School of Engineering Theses & Dissertations
Analog/mixed-signal (AMS) integrated circuits (ICs) play an essential role in electronic systems by processing analog signals and performing data conversion to bridge the analog physical world and our digital information world.Their ubiquitousness powers diverse applications ranging from smart devices and autonomous cars to crucial infrastructures. Despite such critical importance, conventional design strategies of AMS circuits still follow an expensive and time-consuming manual process and are unable to meet the exponentially-growing productivity demands from industry and satisfy the rapidly-changing design specifications from many emerging applications. Design automation of AMS IC is thus the key to tackling these challenges and has been …