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Statistical ADC enhanced by pipelining and subranging
Sen Tao
, Emmanuel Abbe
,
Naveen Verma
Electrical and Computer Engineering
Center for Statistics & Machine Learning
Mathematics
Princeton Materials Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
Overview
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Dive into the research topics of 'Statistical ADC enhanced by pipelining and subranging'. Together they form a unique fingerprint.
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Engineering
Analog-to-Digital Converter
100%
Dynamic Range
66%
Energy Engineering
66%
Front End
66%
Energy Efficiency
33%
Energy Conservation
33%
Root Mean Square Error
33%
Maximum Likelihood Estimation
33%
Keyphrases
Subranging
100%
Complexity Costs
33%
Statistical Observation
33%
Strong Kernel
33%