June 29 – July 3, 2020

Registration deadline: May 22, 2020
Payment deadline: June 15, 2020

Course material will be distributed only if fees have been paid by the deadline for payment.

MONDAY, June 29

TUESDAY, June 30

WEDNESDAY, July 1

THURSDAY, July 2

FRIDAY, July 3

Delta-Sigma Data Converters
June 29 – July 3, 2020
EPFL Premises, Lausanne, Switzerland

Delta Sigma Converter Basics, Parts A & B
Shanthi Pavan, Indian Institute of Technology

Review of quantization noise, oversampling and noise shaping. Signal dependent stability, fundamental tradeoffs in DS modulators – maximum stable amplitude and noise shaping.  Simulation techniques for Delta-Sigma Modulators.

Delta Sigma Converter Basics, Parts C, D & E
Shanthi Pavan, Indian Institute of Technology

Abstract to come.

High-Level Design of Continuous-Time Delta-Sigma Modulators
Shanthi Pavan, Indian Institute of Technology

Systematic design of Continuous-Time Delta-Sigma Modulators from the DT prototype using z-transform and state space methods. The “method of moments” approach to design and intuitive understanding of Continuous-Time Delta-Sigma Modulators.

Non-idealities in Continuous-Time Delta-Sigma Modulators
Shanthi Pavan, Indian Institute of Technology

Excess loop delay, and compensation techniques. Clock jitter and metastability. Clock jitter and metastability (contd). Mitigating effects of jitter in CTDSMs. Time constant variations. Loop filter nonlinearity.

Design of Building Blocks for Continuous-Time Delta-Sigma Modulators
Shanthi Pavan, Indian Institute of Technology

Abstract to come.

Systematic Design Centering a Practical Continuous-Time Delta-Sigma Modulator
Shanthi Pavan, Indian Institute of Technology

Abstract to come.

Circuit Techniques to Mitigate Flicker Noise in Continuous-Time Delta-Sigma Modulators
Shanthi Pavan, Indian Institute of Technology

Abstract to come.

Dynamic Element Matching (Part 1)
Ian Galton, UC San Diego

Randomization and element rotation techniques. Tree structured mismatch shaping.

Dynamic Element Matching (Part 2)
Ian Galton, UC San Diego

This lecture will explain dynamic element matching (DEM) techniques in general and mismatch-noise shaping DEM in particular. Topics include qualitative and quantitative explanations of how error from component mismatches is spectrally shaped without knowledge of the mismatches, DEM DAC topologies and their limitations, DEM encoder algorithms and implementations, and the fundamental performance tradeoffs that govern all types of DEM.

VCO-Based Delta-Sigma ADCs
Ian Galton, UC San Diego

ADCs based on ring oscillator voltage controlled oscillators (VCOs) enabled by digital calibration have the functionality of conventional continuous-time delta-sigma ADCs, but without the need for analog integrators, feedback DACs, comparators, reference voltages, or low-jitter clocks. Therefore, they use much less area than comparable conventional delta-sigma ADCs, are well-suited to advanced CMOS technology, and can easily support reconfigurability. This lecture will describe the principles of VCO-based ADCs, their limitations, techniques such as digital calibration for addressing their limitations, and will present case studies of example IC implementations.

Discrete-Time Delta-Sigma Design
David Johns, University of Toronto

This talk will discuss the design of switched-capacitor delta sigma design. The basics of switched-capacitor circuits will be presented as well as circuit approaches to overcome limitations. In addition, the design of delta sigma converters using switched capacitor circuits will be discussed with the use of an example design.

Introduction to the Delta-Sigma Toolbox
David Johns, University of Toronto

This talk will give an introduction to the use of a Matlab toolbox called the ³Delta Sigma Toolbox². Extensive examples will be given as well as how to make use of state-space to use different filter topologies as well as dynamic range scaling.

Bandpass Delta-Sigma ADCs
David Johns, University of Toronto

This talk will discuss the design of Bandpass Delta Sigma ADCs which are useful in RF systems. Topics covered include resonator structures, architecture choices and example systems.

Incremental and Sensor ADCs
David Johns, University of Toronto

This talk will discuss the design of incremental ADCs as well as low-frequency sensor data converters. These goal of these converters are to not only have high linearity and SNR but also to have low offset and high accuracy.

Circuit Noise Issues with ADCs
David Johns, University of Toronto

This talk will discuss noise in basic circuits and opamps as well as a simple switched-C integrator as they apply to data converters. Topics covered include device noise basics, amplifier/cascode/mirror/diff-pair noise, switched-C noise, and oversampling.