Course syllabus

Signalbehandling i multimedia
Signal Processing in Multimedia

ETI265, 7,5 credits, G1 (First Cycle)

Valid for: 2016/17
Decided by: Education Board A
Date of Decision: 2016-04-05

General Information

Main field: Technology.
Compulsory for: BME2, C2
Elective Compulsory for: E3
Language of instruction: The course will be given in Swedish

Aim

We use daily equipments in which the signals are stored and treated digitally. From the basic signal processing used in CD-players to advanced processing used in MP3 coding of music, speech coding in GSM, digital video and image processing. The course gives the basic knowledge in digital signal processing and knowledge of signal properties in the time domain as well as in the frequency domain.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

• be able to identify applications of digital signal processing and how this is used in modern equipments
• be able to describe digital signals and the properties of digital signals
• be able to describe the relation between the properties in the time domain and in the frequency domain

Competences and skills
For a passing grade the student must

• be able to analyze the signal properties in the time domain and in the frequency domain
• be able to describe the properties of digital circuits

Judgement and approach
For a passing grade the student must

• be able to handle digital signal methods in practical applications
• be able to read literature as well as treat with standards in this area.

Contents

The course deals with time discrete signals and systems. Items such as the Fourier Transform, the Discrete Fourier Transform (DFT) and the z-transformed are treated in the course as well as some basic structures for implementation of digital filters. Also, system function and frequency functions are introduced as well as digital filters. Digital processing of analogue signals using A/D and D/A conversion is studied. In the laboratory work, practical applications of digital signal processing such as speech signals processing and biomedical signals processing are treated. Also, the course includes basic filter design using Matlab and digital signal processors (DSP).

Examination details

Grading scale: TH
Assessment: Written exam, fulfilled laboratory work and partial tests during the course.

Parts
Code: 0103. Name: Examination.
Credits: 7,5. Grading scale: TH.
Code: 0203. Name: Laboratory works.
Credits: 0. Grading scale: UG.

Admission

Required prior knowledge: FMA410 or FMAA01 One Dimensional Analysis.
The number of participants is limited to: No
The course overlaps following course/s: ESS040, EITF15

Reading list

• Proakis J G, Manolakis D G. : Digital Signal Processing. Principles, Algorithms and Applications. Pearson Education, 2007, ISBN: 0-13-228731-5. The literature mentioned was used last year. Proakis J G, Manolakis D G: Digital Signal Processing. Principles, Algorithms and Applications.
• Pearson Prentice Hall,: 4:e upplagan,. ISBN: 0-13-187374-1. Additional material provided by the department.

Contact and other information

Course coordinator: Nedelko Grbic, nedelko.grbic@eit.lth.se
Course homepage: http://www.eit.lth.se/course/eti265
Further information: The present course provides essentially the same qualifications as the basic course "ESS040 Digital signal processing" for the electrical engineering program, and therefore any of the elective courses in Signal Processing can be followed.