Syllabus 2011/2012 EITF15

Syllabus academic year 2011/2012
(Created 2011-09-01.)

SIGNAL PROCESSING - THEORY AND APPLICATIONS

EITF15

Credits: 6. Grading scale: TH. Cycle: G2 (First Cycle). Main field: Technology. Language of instruction: The course will be given in Swedish. EITF15 overlaps following cours/es: ESS040 and ETT080. Compulsory for: Pi3. Course coordinator: Associate Professor Martin Stridh, Martin.Stridh@eit.lth.se, Electrical and Information Technology. Recommended prerequisits: FMAF01 Analytic Functions, FMAF05 Systems and Transforms, FMS045 Stationary Stochastic Processes. Assessment: Written exam, fulfilled laboratory work and partial tests during the course. Home page: http://www.eit.lth.se/course/eitf15.

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. Practical applications are from various areas, such as Communications, Multimedia, Medicine, Biology and Economics

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 practical applications
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

Skills and abilities
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).

Literature
Proakis, J G, Manolakis, D G: Digital Signal Processing. Principles, Algorithms and Applications, 4th edition, Pearson Prentice Hall, ISBN 0-13-187374-1 and additional material provided by the department.