TSKS10 |
Signals, Information and Communication, 4 ECTS credits.
/Signaler, information och kommunikation/
For:
D
I
Ii
Mat
Y
Yi
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Prel. scheduled
hours: 40
Rec. self-study hours: 67
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Area of Education: Technology
Main field of studies: Electrical Engineering
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Advancement level
(G1, G2, A): G2
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Aim:
- Understand and be able to conduct calculations on sampling in the time domain, dimensionality, I/Q representation, sampled systems and noise
- Understand and be able to conduct basic calculations on simple stochastic models of information
- Describe the fundamental limits on compression and transmission of signals and information, conduct simple calculations that relate to these limits, and understand how these limits relate to the physical reality
- Show engineering understanding of the fundamental limits of transmission of signals and information over unreliable channels (e.g., radio) and conduct simple calculations relating to these
- Describe and show engineering understanding of some basic principles for information storage and transmission techniques used in practice
- Using adequate terminology, well structured and in a logically coherent manner, be able to describe the relation between different concepts in the course
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Basic working knowledge of the Fourier transform and linear systems. Probability 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:
Subsequent courses in areas such as signal and image processing, communications, electronics, automatic control, and more.
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Organisation:
Lectures, tutorials, written exam and a computer laboratory exercise. The computer laboratory exercise is to be documented individually in the form of a written report.
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Course contents:
Sampling in the time domain. Representation of time- and band-limited signals, dimensionality of signals. Narrowband signals and I/Q representation. Sampled systems. Introduction to noise. Examples of signals in electrical engineering applications, especially communications and navigation systems. Modeling of physical channels (cables, radio). Fundamental limits for transmission and storage of information, entropy, capacity. Introduction to techniques for compression and error protection.
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Course literature:
E. G. Larsson, �?�Signals, Information and Communications�?�.
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Examination: |
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Written examination Computer laborations |
3 ECTS 1 ECTS
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Course language is Swedish.
Department offering the course: ISY.
Director of Studies: Klas Nordberg
Examiner: Erik G. Larsson
Link to the course homepage at the department
Course Syllabus in Swedish
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