Boris murmann phd thesis introduction
Introduction to Machine Learning and Inference for Circuit and System Designers
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Boris Murmann
Online 66 At the Library Murmann, Boris 66 Wooley, /order-custom-term-papers-xtremepapers.html A. Department of Electrical Engineering 66 Stanford University. Committee on Graduate Studies 3.
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Theses and dissertations
Digital compensation thesis introduction dynamic acquisition errors at the front-end of ADCs []. Description Book — xix, p.
Not all titles available. Description Book — xviii, p. Pipelined analog-to-digital converters using incomplete settling []. Description Book — xxi, p.
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Machine learning and inference techniques are become increasingly important for a wide range of applications, and must be supported in platforms ranging from cloud servers, cars, and robots to small portable devices and IoT sensors. Common to this plethora of systems is an unmet need for ever-increasing compute efficiency at all levels of complexity. The goal of this tutorial is to provide an entry point for circuit and system designers into this exciting and fast-paced area of research and development.
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