“Oversampled Data Converters” – Prof. David Johns (University of Toronto)

145.00

“Mixed-Signal IC Design Course” focusing on Oversampled Data Converters, presenting building blocks, limitations and state-of-the-art topologies.

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Sample Lecture – “Oversampled Data Converters” Course (2019)

Course Outline

The first half of the course focuses on operational amplifier design, covering stability, optimization, low-power analysis and biasing. Switched-capacitor circuit design is also presented.

The remainder of the course is devoted to oversampled data converters, i.e. Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs), used across a range of speeds and resolutions. Particular emphasis is placed on bandpass delta–sigma ADCs and incremental ADCs for sensor designs, with a final focus on circuit-noise limitations.

Lecture List

Lecture #1 – OpAmp Stability and Optimization
Stability of small and larger circuits. Topics include loop-gain/poles relationship, return-ratio, blackman-impedance, pole-splitting, dealing with positive zero, and nested-miller compensation.

Lecture #2 & #3 – Low-Power OpAmp Design and Biasing (I) & (II)
Opamp design with an emphasis on low power, biasing approaches and transistor sizing. Topics include weak/strong-inversion biasing, design choice of Veff/W/L, constant-current/PTAT/constant-Gm biasing, Rapid multistage analysis, two-stage opamps, telescopic opamps, folded-cascode opamp, differential opamps and common-mode feedback.

Lecture #4 – Switched-Capacitor Circuit Design
Switched-capacitor circuit design. Topics include discrete-time/z-transform, sample-and-hold, SC-integrator, biquad filters, 1/f noise reduction, non-ideal effects.

Lecture #5 – Oversampled Data Converters
An introduction to oversampled data converters in discrete-time. Topics include noise shaping, stability of higher order modulators, modulator architectures, multi-bit vs single bit, a third-order design example.

Lecture #6 – Bandpass Delta-Sigma ADCs
Design of Bandpass Delta Sigma ADCs which are useful in RF systems. Topics covered include resonator structures, architecture choices and example systems.

Lecture #7 – Incremental ADCs and Sensor ADCs
Design of incremental ADCs as well as low-frequency sensor data converters. The goal of these converters are to not only have high linearity and SNR but also to have low offset and high accuracy.

Lecture #8 – Circuit Noise Limitations
Noise in basic circuits and opamps as well as a simple switched-C integrator. Topics covered include device noise basics, amplifier/cascode/mirror/diff-pair noise, switched-C noise, oversampling and differential vs single-ended.

Features & Format

Format: 8 lectures.

Included: 

  • Course notes (PDF)

About The Presenter

David A. Johns – Received the B.A.Sc., M.A.Sc., and Ph.D. degrees from the University of Toronto, Toronto, ON, Canada, in 1980, 1983, and 1989, respectively. In 1988, he joined the University of Toronto, where he is currently a Full Professor. He has ongoing research programs in the general area of analog integrated circuits. Together with academic experience, he also has spent a number of years in the semiconductor industry and was a Co-Founder of a successful IP company called Snowbush Microelectronics, Toronto. He has co-authored over 80 publications including a successful graduate level textbook entitled “Analog Integrated Circuit Design”. Dr. Johns is an IEEE Fellow and was a recipient of the 1999 IEEE Darlington Award. He was a Guest Editor of the IEEE JOURNAL OF SOLID-STATE CIRCUITS and an Associate Editor of the IEEE TRANSACTION ON CIRCUITS AND SYSTEMS.

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