ECEN 4632  Introduction to Digital Filtering
Catalog Data 
ECEN 4632 (3). Introduction to Digital Filtering.
Covers both the analysis and design of FIR and IIR digital filters.
Discusses implementations in both software and hardware. Emphasizes use
of the FFT as an analysis tool. Includes examples in speech processing,
noise canceling, and communications. 
Credits and Design 
3 credit hours. Selected elective course. 
Prerequisite(s) 
ECEN 3300,
Linear Systems
Restricted to seniors. 
Corequisite(s) 
None. 
Instructor(s) 
Timothy Brown, Shannon Hughes, Eugene Liu,
Peter Mathys, Francois Meyer. 
Textbook 
Alan V. Oppenheim and Ronald W. Schafer, DiscreteTime
Signal Processing, 3rd Edition, Prentice Hall, 2009, ISBN13
9780131988422. 
 

Course Objectives 
For students to:
 Understand the theoretical and practical relationships between continuous
and discrete time models of signals.
 Understand the different characterizations of a filter using the impulse
response, frequency response, and ztransform.
 Understand the impact of the design parameters on the properties of a
filter as measured in the time, frequency, or zdomain.

Learning Outcomes 
After taking this course students will be able to recognize and use
the following concepts, ideas, and/or tools:
 Sampling and interpolation, including the
sampling theorem, multirate signal processing, and filterbanks.
 Filter characterization in terms of its
transforms, including rational system functions, linear phase, and allpass
systems.
 Filter design, including design of IIR
filters using bilinear transforms, design of FIR filters using windows,
and the ParksMcClellan algorithm.

Student Outcomes Addressed 
3a 
3b 
3c 
3d 
3e 
3f 
3g1 
3g2 
3h 
3i 
3j 
3k 
Math /Sci 
Exper iments 
Design 
Teams 
Engr Problems 
Respon sibility 
Oral 
Written 
Engr Solns Impact 
LL Learning 
Contem porary 
Tools 
H 

L 




M 



H 

Topics Covered 
 Discrete time signals and systems
 zTransform
 Sampling theorem and applications
 Multirate signal processing and filterbanks
 Transform analysis of rational system functions
 Frequency response: magnitude and phase
 Infinite impulse response (IIR) filter design, bilinear transform
 Finite impulse response (FIR) filter design by windowing
 Optimum FIR design

Last revised: 051811, PM, ARP.