Presentation:
Digitally Assisted Data Converters
Ahmed M. A. Ali, Analog Devices, IEEE Distinguished Lecturer
Abstract
Digitally assisted ADCs have become mainstream. The move
to finer geometry processes and the insatiable need for
higher resolution ADCs at higher sample rates have made
digital assistance a necessity. In this talk, we discuss
some of the advanced calibration techniques for high speed
and high-resolution ADCs. These include techniques to correct
for inter-stage gain errors, non-linearity, settling and
memory errors. Techniques covered include correlation-based
calibration, summing node calibration, split-ADC calibration,
reference ADC calibration and statistical-based techniques.
The talk will discuss the advantages and limitations of the
different approaches, some of the practical considerations
and some state-of-the-art and implementation examples.
Biography
Ahmed M. A. Ali received the B.Sc. and M.Sc. degrees, with
distinction and highest honor in electrical engineering from
Ain Shams University, Cairo, Egypt, and the Ph.D. degree
in electrical engineering from the University of Pennsylvania,
Philadelphia. He is currently a Fellow at Analog Devices,
where he has led the design and development of several industry
and world firsts in the high-speed data converter field.
Before joining Analog Devices, he was with Texas Instruments'
Mixed-Signal R&D Labs and Wireless Infrastructure Business Unit.
His past industrial experience also includes Anacad/Mentor
Graphics and Siemens AG. He was an Adjunct Assistant
Professor at the University of Pennsylvania from 2001 to 2007
and is currently serving as an Associate Editor of the
IEEE Transactions on Circuits and Systems I: Regular Papers.
He is the author of the book: "High Speed Data Converters",
published by the Institution of Engineering & Technology (IET)
in 2016. He is also the principal author of more than 30
papers and holds 50 patents. His research interests include
analog IC design, high linearity sampling, digitally assisted
converters, and signal processing. Dr. Ali received the
S.J. Stein award from the University of Pennsylvania.
He is also the recipient of the George Stephenson Foundation
award, the Catalyst Foundation fellowship award,
the University of Pennsylvania fellowship, and several
industry and academic excellence awards.
Talk Details