UNIVERSITY OF CALIFORNIA
College Of Engineering
Department of Electrical Engineering
and Computer Sciences

Course Description

Analog circuits are increasingly part of larger chips containing both analog and digital circuits. In this course we look at the architecture of these chips, the representation of signals in the analog and digital domain, conversion with analog/digital and digital/analog converters, and physical constraints such as electronic noise. The key concepts discussed in the course are:

• Abstraction
  • Behavioral modeling of mixed analog and digital chips
  • Analog / digital system partition
• Quantization
  • Sampling and reconstruction
  • Windowing
  • Oversampling
  • Amplitude quantization (ADC & DAC)
  • Representation of quantization errors
  Signal processing
  • Filtering
  • Spectra: magnitude, phase, group delay
  • Impulse response
  • Electronic noise, dynamic range, limits
  • Sensitivity

We will discuss these ideas in the context of important analog circuit functions, including

• Converters
  • D/A converter architectures
  • A/D converter
    • Oversampled converters
    • Pipeline ADCs
    • Self-calibration
• Filters
  • Continuous time filters (biquads and ladders)
  • Switched capacitor (SC) filters
  • Digital filters

In this course we concentrate on the behavioral levels of circuits, using primarily Matlab for simulation. SPICE will be used for noise analysis. This course complements EE 240B, a transistor level circuits course that can be taken either after or before EE 240C.

Prerequisites

A basic course in signal processing (Laplace and z-transform, discrete fourier transform) such as EE120 and fundamental circuit concepts as taught in EE140 or EE240A. Familiarity with Matlab and SPICE is helpful.

References

No single book covers all the topics addressed in this course. The texts listed below expand on the subjects covered. None is required, though a good subset will probably help you substantially should you choose a career in mixed signal design.

• Converters
  • M. Pelgrom, Analog-to-Digital Conversion, Springer, 2nd ed, 2013.
  • F. Maloberti, Data Converters, Springer, 2007.
  • M. Gustavsson, J. Wikner, and N. Tan, CMOS Data Converters for Communications, Kluwer, 2002.
  • B. Razavi, Data Conversion System Design, IEEE Press, 1995.
    Good overview of architectures and circuit techniques. Does not cover oversampled converters.
  • R. van de Plassche, Integrated Analog-to-Digital and Digital-to-Analog Converters, 2^nd edition, Kluwer, 2007.
    Lots of in-depth material. Difficult reading.
  • A. Rodríguez-Vázquez, F. Medeiro, and E. Janssens, CMOS Telecom Data Converters, Kluwer Academic Publishers, 2003.
• Oversampling Converters
  • S. Norsworthy et al (eds), Delta-Sigma Data Converters, IEEE Press, 1996.
    Extensive treatment of oversampled converters including stability, tones, bandpass converters.
  • R. Schreier, G. Temes, Understanding Delta-Sigma Data Converters, Wiley-IEEE Press, 2005.
  • J. de la Rosa, R. del Ria, CMOS Sigma-Delta Converters, Wiley-IEEE Press, 2013.
  • Y. Geerts, M. Steyaert, W. Sansen, Design of Multi-Bit Delta-Sigma A/D Converters, Kluwer, 2003.
• Filters
  • H. Dimopoulos, Analog Electronic Filters, Springer, 2012.
  • A. Zverev, Handbook of Filter Synthesis, Wiley, 1967.
    A classic; focus is on passive ladder filters. Tables for implementing ladder filters (replaces a CAD tool).
  • A. Williams and F. Taylor, Electronic Filter Design Handbook, 3rd edition, McGraw-Hill, 1995.
    The practice: Covers many types of filter implementations (biquads, ladders, CT and SC, analog and digital) with many examples.
  • K. Su, Analog Filters, Chapman-Hall, 2nd ed., 2003.
  • R. Saal, Handbook of filter synthesis, AEG-Telefunken, 1979.
  • A. Ambardar, Analog and Digital Signal Processing, Brooks/Cole, 2nd ed, 1999.
    The math: Convolution, transforms, filter approximation. 

• Communications
  • A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw-Hill.
    Mathematical background for noise analysis and matching in converters and filters.
  • J. D. Gibson, Principles of Digital and Analog Communications, 2nd ed, Macmillan, 1993.
  • L. W. Couch II, Digital and Analog Communications Systems, 4th ed, Macmillan, 1993.

• Tools
  • K. S. Kundert, The Designer's Guide to SPICE & SPECTRE, Kluwer Academic Press, 1995.
    Mandatory insight for anyone concerned with simulation accuracy and convergence.
  • K. S. Kundert and O. Zinke, The Designer's Guide to Verilog AMS, Kluwer Academic Publishers, London, 2004.

Many texts are downloadable (in pdf format) from http://link.springer.com (Springer and Kluwer) or http://ieeexplore.ieee.org. UC Berkeley has a site license to these: download is free from UC IP addresses.

Grading

Homework 20%, project 30%, midterm 20%, final 30%.

The homework with the lowest score is omitted from the average. Homework, project, and exams will be returned in class. Submitting homeworks, project, and taking exams are mandatory to pass the class.

Administrative