Syllabus academic year 2010/2011
(Created 2010-07-25.)
SIGNAL PROCESSING IN MULTIMEDIAETI265
Credits: 7,5. Grading scale: TH. Cycle: G1 (First Cycle). Main field: Technology. Language of instruction: The course will be given in Swedish. Compulsory for: C2, D2, E3. Course coordinator: Universitetslektor Bengt Mandersson, bengt.mandersson@eit.lth.se, Electrical and Information Technology. Recommended prerequisits: FMA410 or FMAA01 One Dimensional Analysis. Assessment: Written exam, fulfilled laboratory work and partial tests during the course. 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. Home page: http://www.eit.lth.se/course/eti265.

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.

Knowledge and understanding
For a passing grade the student must

Skills and abilities
For a passing grade the student must

Judgement and approach
For a passing grade the student must

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).

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