ECE 451: Digital Signal Processing
Summary:
An advanced course
on digital signal processing. Briefly reviews some of the concepts and
techniques of digital signals and systems; examines optimal and computer-aided
filter design, quantization effects, deconvolution, multirate signal processing,
fast algorithms for convolution and the DFT, time-frequency analysis; and
introduces adaptive signal processing.
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Brief review of elementary concepts
and techniques: sampling, A/D, D/A, analog frequency response of a digital
processor, linear-phase systems, and basic methods for design of IIR and
FIR filters.
-
Optimal FIR and IIR filter and
design
-
Lattice filter structures
-
Introduction to adaptive signal
processing
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Quantization effects
-
Deconvolution
-
Decimation, interpolation, and
applications to filtering
-
Fast algorithms for convolution
and the DFT
-
Time frequency analysis
Texts:
Openheim and Schaefer,
Discrete-Time Signal Processing, Prentice-Hall, 1989.
Class Notes
Prerequisites:
ECE 310 and ECE
313 or equivalent.
Course Credit:
1 unit.
Further Information:
Curriculum
in Control Web Page
Last Modified: November 3,
1998