  COURSE SYLLABUS

Digital communications 7.5 credits

Digital kommunikation
Second cycle, S7012E
Version
Course syllabus valid: Spring 2022 Sp 3 - Present
The version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first.

 Education level Second cycle Grade scale G U 3 4 5 Subject Signal Processing Subject group (SCB) Computer Technology

Entry requirements

Mathematics (corresponding to M0031M Linear Algera and Differential Equations or M0049M Linear Algebra and Differential Equations), linear analysis (corresponding to M0018M Linear Analysis), introductory signal processing (corresponding to S0001E Signal Analysis). Good knowledge in English equivalent to English 6.

Selection

The selection is based on 20-285 credits

Course Aim
The student shall be able to:

- Describe, explain, linear modulation
- Describe, explain, calculate communications signals' spectrum and bandwidth
- Describe, explain, calculate baseband representation of signals with passband nature
- Describe, explain, calculate signal constellations, their energy, and distance properties
- Describe, explain, calculate Nyquist-pulses for communication and their properties
- Describe, explain, calculate how signals can be represented sas vectors
- Describe, explain, calculate the matched filter
- Describe, explain, calculate additive Gaussian noise and its power
- Describe, explain, calculate hypothesis tests and detection
- Describe, explain, calculate MAP- och ML-detector
- Describe, explain, calculate Q-function
- Describe, explain, calculate detectors’ error probabilities
- Describe, explain OFDM
- Evaluate and simulate simple digital communications systems in MATLAB.

Contents
Beyond an introduction on information och channel capacity, the course treats theory and applications of a number of basic concepts in  digital communications, such as:

- vector representations
- digital modulation (PSK, QAM)
- pulse forms
- noise
- the matched filter
- Nyquist signalling
- intersymbol interference
- detection
- maximum likelihood detection
- performance measures
- dispersive channels
- error probability
- OFDM

Mandatory computer exercises in Matlab are part of the course

Realization
Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website.

Lectures, exercise sessions, and laboratory work (computer assignments).

Examination
If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided.

Mandatory laboratory assignments with written reports and written exam with differentiated grades.

Remarks
The course can be offered in English

Examiner
Jaap van de Beek

Literature. Valid from Autumn 2015 Sp 1 (May change until 10 weeks before course start)
t.b.d.

Course offered by
Department of Computer Science, Electrical and Space Engineering

Modules