TSEI50 |
Linear Systems, 6 ECTS credits.
/Linjära system/
For:
EL
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Prel. scheduled
hours: 64
Rec. self-study hours: 96
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Area of Education: Technology
Main field of studies: Electrical Engineering
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Advancement level
(G1, G2, A): G1
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Aim:
The aim of the course is to give basic knowledge about methods for the analysis of linear discrete-time systems and to serve as preparation for other courses. After the course, the student is expected to be able to:
- analyze and perform computations on discrete-time systems,
- use transforms to solve problems within discrete-time systems,
- analyze and perform computations on mixed continuous-time/discrete-time systems (sampling and reconstruction),
- use computer programs to solve problems within discrete-time systems.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Calculus, Linear algebra, Circuit Theory
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Automatic Control, Digital Filters.
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Organisation:
The course is organised in lectures/lessons and laboratory work.
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Course contents:
Signals and systems. Classification of signals. Classification of systems. System analysis. Discrete-time signals and systems. Difference equations. Convolution. Stability. Representation of linear discrete-time systems. Applications. Analysis with the z-transform. Transfer function. Poles and zeros. Stability and causality. Frequency response. Fourier transform. Sampling and reconstruction. The sampling theorem. Systems with different sampling frequencies. Fourier series. DFT. Introduction to discrete-time filters.
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Course literature:
H. Johansson: Discrete-Time Systems.
Material handed out during the course.
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Examination: |
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Written examination Labratory work |
4,5 ECTS 1,5 ECTS
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Course language is English.
Department offering the course: ISY.
Director of Studies: Tomas Svensson
Examiner: Håkan Johansson
Link to the course homepage at the department
Course Syllabus in Swedish
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