The University of Texas at Dallas
Erik Jonsson School of Electrical Engineering and Computer Science
EECT 7327-001, Data Converters, Fall 2014
 
   
 
 
 
Instructor: Professor Yun Chiu
  • E-Mail: chiu.yun@utdallas.edu
  • Office hours: T, 2-4pm, in ECSN 3.602

Teaching Assistant: Yuan Zhou

  • E-Mail: yuan.zhou@utdallas.edu
  • Office hours: F, 4-5pm, in ECSN 4.324 (Solarium Lab)

Course Description:

  • Syllabus
  • This course covers the data converter circuits in modern mixed-signal VLSI systems. We will investigate switched-capacitor amplifiers/integrators, sample-and-hold circuits, Nyquist-rate converters, and oversampled converters. 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. Extensive computer simulations are required in the project.

Textbook:

No textbook is required. Lecture notes, slides, and papers will be posted. The following reference texts are recommended as supplementary readings for the course.

  1. 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
  2. Data Converters

 

  – Razavi, Principles of Data Conversion System Design, IEEE Press, 1995
– van de Plassche, CMOS Integrated Analog-to-Digital and Digital-to-Analog Converters, Kluwer, 2003
– Norsworthy et al., Delta-Sigma Data Converters: Theory, Design, and Simulation, Wiley, 1996
  3. Switched-Capacitor Circuits

 

  – Gregorian and Temes, Analog MOS Integrated Circuits for Signal Processing, Wiley, 1986
 

Prerequisites:

EECT 6326 (Analog IC Design) and EE 4361 (Digital Signal Processing)
 

CAD Tools and Manuals:

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

Helpful Links

Grading:

  • Midterm Exam: 30%
  • Project Phase 1: 20%
  • Project Phase 2: 20%
  • Project Phase 3: 30%
  • Project presentation: 5% (extra credit)