EE 402: Design of Analog and Digital Filters
This is supplemental course information, designed to give you a fuller picture of the course and an expanded look at the topics covered. This is an unofficial document. The USC Course Catalog is the binding description of all university courses. Information such as books, materials covered, and the order of topics is subject to change. Please consult instructor for this semseter to get more upto date course information.
402 Design of Analog and Digital Filters (3, Fa) Frequency domain design of passive and active filters. Ladder networks. Filter approximations. Z-transform technique. Design and realization of IIR and FIR digital filters. Prerequisite: EE 301a (Introduction to Linear Systems).
Wai-Kai Chen, Passive and Active Filters: Theory and Implementations. New York: John Wiley & Sons, 1986.
NOTE: Approximately 300 pages of supplementary notes are handed out to students as a complement to the assigned textbook. These notes are a precursor of a forthcoming Kluwer Academic Publishers textbook authored by the course coordinator.
John Choma, Professor of Electrical Engineering
1. Two port network models and analysis.
2. Scattering parameters.
3. Fundamentals of filter synthesis.
4. Filter approximations.
5. RF Matching filters.
6. Distributed networks.
7. Active distributed networks.
8. Active biquadratic filters.
9. Parametric sensitivity of filters.
To introduce the student to the fundamental theories and design strategies that underpin the realization of active and passive filters that satisfy required transfer and impedance properties over specified signal passbands.
The students will be able to:
1. Understand such classic filter approximations as the Butterworth (maximally flat magnitude), Chebyschev (equal ripple), and Bessel (maximally flat delay) filters.
2. Formulate the transfer functions commensurate with lowpass, bandpass, highpass, notch, and other filter response forms.
3. Efficiently analyze high order filter architectures to assess their frequency and phase response analytical forms.
4. Formulate design procedures and design a variety of active and passive filter structures.
5. Analyze and design distributed active and passive filter structures.
6. Compensate active and passive filter structures for optimal response forms, subject to the constraint of minimal parametric sensitivities.
7. Use scattering parameters to characterize generalized linear two port networks and design ideally lossless filter structures for RF communication system applications.
8. Be able to apply, intelligently and efficiently, such computer tools as SPICE, MATLAB, and ANALOG DESIGN SIMULATOR (ADS) to application specific design problems.
9. Be able to write relatively simple software for the design of specific forms of active and passive filter structures.
10. Design and simulate a pragmatic filter network based on given specifications for a class project assignment.
No formal laboratories are currently required for this course.
Prepared by: John Choma Date: October 15, 2002
