"Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
"Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
"Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
"Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
"Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
  1. "Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
  2. "Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
  3. "Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
  4. "Data Converters: DACs" - Prof. Boris Murmann (Stanford University)
  5. "Data Converters: DACs" - Prof. Boris Murmann (Stanford University)

“Data Converters: DACs” – Prof. Boris Murmann (Stanford University)

€145.00

“Mixed-Signal IC Design Course” focusing on Digital-to-Analog Converters (DACs) and data converter calibration techniques (ADCs & DACs).

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Sample Lecture – “Data Converters: DACs” Course (2016)

Course Outline

This course covers advanced topics related to integrated CMOS circuit design for data converters. Focus is placed on topics that are rarely taught or haven’t received an up-to-date treatment in commonly-used textbooks. The specific subjects include fundamentals on offset/flicker noise mitigation and distortion analysis, a review of DAC topologies used across a wide range of speeds and resolutions, as well as techniques designed to overcome circuit imperfections in both D/A and A/D converters via calibration.

Lecture List

Lecture #1 – Offset and 1/f Noise Reduction Techniques

Lecture #2 – Low-Frequency Distortion Analysis

Lecture #3 – High-Frequency Distortion Analysis

Lecture #4, #5 & #6 – D/A Converter Design (I), (II) & (III)

Lecture #7 & #8 – Data Converter (D/A & A/D) Calibration Techniques (I) & (II)

Features & Format

Format: 8 lectures.

Included: 

  • Course notes (PDF)

About The Presenter

Boris Murmann is a Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs in automotive CMOS technology. Since 2004, he has worked as a consultant with numerous Silicon Valley companies.

Dr. Murmann’s research interests are in mixed-signal integrated circuit design, with special emphasis on sensor interfaces, data converters and custom circuits for statistical inference. In 2008, he was a co-recipient of the Best Student Paper Award at the VLSI Circuits Symposium and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is a Fellow of the IEEE.

He has authored/co-authored over 150 publications, including 4 books and 5 book chapters.

IEEE SSCS Magazine

IEEE SSCS Magazine – Fall 2016

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