ECE 464- Digital Signal Processing
Catalog Description: Discrete-time signals, the discrete Fourier transform;
design and implementation of digital filters.
Goals: This course covers the techniques of modern digital signal processing
that are fundamental to a wide variety of application areas. Special emphasis
is placed on the architectures and design techniques for digital filters.
Prerequisites:
By course: Senior or Graduate standing in ECE, ECE 351 & ECE 352.
By Topic: Discrete time signal and system analysis, Fourier, Laplace &
Z- transforms, DT convolution, analog filters
Courses that require this as a prerequisite: ECE 567, ECE 568
Credits: 4 Terms Offered: Winter
Instructors:
Primary: H. Liu
Secondary: V. Stonick
Textbooks:
Digital Signal Processing: A Computer based Approach, K. S. Mitra, Berkeley
McGraw-Hill, 1998, ISBN 0-941413-35-7
Course Learning Objectives:
Students are expected to demonstrate the ability to:
- Design FIR and IIR filters by hand to meet specific magnitude and phase
requirements. (ABET Outcome a)
- Perform Z and inverse Z transforms using the definitions, Tables of Standard
Transforms and Properties, and Partial Fraction Expansion. (ABET Outcome a)
- Determine if a DT system is linear, time-invariant, causal, and memoryless,
determine asymptotic, marginal and BIBO stability of systems given in frequency
domain. (ABET Outcome a)
- Design and implement digital filters by hand and by using Matlab. (ABET
Outcomes b,c)
- Use computers and MATLAB to create, analyze and process signals, and to
simulate and analyze systems sound and image synthesis and analysis, to plot
and interpret magnitude and phase of LTI system frequency responses. (ABET
Outcomes b, k)
Topics
- Review of discrete-time signals: linearity, time-invariance, causality,
stability, and convolution; discrete-time Fourier transform; and difference
equations.
- Sampling theorem; reconstruction of continuous-time signals from discrete-time
signals; interpolation and decimation.
- z-transform; and inverse z-transform.
- Image blurring and sound synthesis
- Discrete Fourier transform and circular convolution
- Finite impulse response (FIR) and infinite impulse response (IIR) networks.
- IIR filter design using analog prototypes, and transforms from continuous-time
to discrete-time.
- FIR design techniques: frequency sampling, windowing method and computer-aided
FIR design.
Structure: Two 110-minute lectures per week.
Original: 1/01
Revised: