UTD

EECT 7V88: Noise & Error Shaping in DSMs
Fall 2021 (hybrid instruction)

 
   
 
 
 
Instructor: Professor Y. Chiu
  • E-Mail: chiu.yun@utdallas.edu
  • Office hours: F, 10am-12:45pm, in FN 2.106

Course Description:

  • Syllabus
  • This course covers the oversampling data converters, aka. sigma-delta modulators. Topics of noise & error shaping techniques in DSMs will be the focus of the course. We will also examine the recent continuous-time (CT) DSM widely used in modern communication devices. As the major advancement in this field was developed using CMOS technology in the past decade, the course will focus on CMOS building blocks and circuit techniques that implement these converters.

Textbook:

No textbook is required. Lecture notes, slides, and other reading materials will be posted. The following texts are recommended as supplementary readings.

  1. Oversampling Data Converters

 

  – Schreier and Temes, Understanding Delta-Sigma Data Converters, Wiley, 2004
– Norsworthy et al., Delta-Sigma Data Converters: Theory, Design, and Simulation, Wiley, 1996
  2. Nyquist Data Converters

 

  – Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
– van de Plassche, CMOS Integrated A/D and D/A Converters, Kluwer, 2003
  3. Analog Circuit Design

 

  – Gray et al., Analysis and Design of Analog Integrated Circuits, Wiley, 2001
– Razavi, Design of Analog CMOS Integrated Circuits, McGraw-Hill, 2001
– Johns and Martin, Analog Integrated Circuit Design, Wiley, 1997
– Allen and Holberg, CMOS Analog Circuit Design, Oxford, 2002
– Gregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986
 

Prerequisites:

EECT 6326 or EE 4340/5340, or equivalent. EECT 7327 preferred but not required (we will review the basics of Nyquist and oversampling data converters)
 

CAD Tools and Manuals:

MATLAB/Simulink and SpectreRF are the tools we use. Access to Cadence can be helpful, but not required.

Helpful Links:

Grading:

  • No homework or exam: 0%
  • Project report & presentation: 95%
  • Class attendance: 5%