Computer Science, Electrical Engineering
SMS023 Discrete-time Signal Processing 6.0 ECTS credits
DENNA SIDA FINNS OCKSÅ PÅ SVENSKA
General information about studying at Luleå University
TIMEPERIOD:
LANGUAGE: English/Swedish
EXAMINER
P Börjesson Prof
PREREQUISITES
Signals and Systems I and II, SMS020 and SMS021, or equivalent.
COURSE AIM
The goal of this course is to substantially increase the student«s understanding for discrete-time
signal processing. The course is also intended as a good preparation for postgraduate studies in
signal processing and related areas.
CONTENTS
Linear and time invariant (LTI) systems, sampling of continuous-time signals, the z-transform,
stability, the discrete-time Fourier transform (DFT), Fourier analysis, time-frequency analysis,
implementation of discrete-time filters, quantization effects, filter design, decimation, interpolation,
and fast Fourier transforms.
As an important complement to the theory, a part of the course is devoted to exercises with
discrete-time signal processing tools in practical situations.
TEACHING
Lectures.
EXAMINATION
COURSE GRADE SCALE:
ITEMS AND CREDITS
Laboratory work 0.7 ECTS
Written exam 5.2 ECTS
COURSE LITERATURE
Oppenheim, A.V. / Shafer, R.W.: Discrete-Time Signal Processing, Prentice Hall, 1989.
Burrus, C.S., et al.: Computer-Based Exercises for Signal Processing using MATLAB,
Prentice Hall, 1994.
REMARKS
Last modified 97-03-05
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