Syllabus 2009/2010 ESS040

Syllabus academic year 2009/2010
(Created 2009-08-11.)

SYSTEMS AND SIGNALS

ESS040

Higher education credits: 6. Grading scale: TH. Level: G2 (First level). Language of instruction: The course will be given in Swedish. ESS040 overlap following cours/es: ETI240, ETI275, ETI240, ETI275, EITF15, ETI240, ETI275, EITF15, ETI240 och ETI275. Compulsory for: E3. Optional for: F4, N3. Course coordinator: Universitetslektor Bengt Mandersson, bengt.mandersson@eit.lth.se, Inst för elektro- och informationsteknik. Recommended prerequisits: ESS010 or ETI190 Electronics and FMA037 Complex Analysis or FMAF01 Analytic Functions and FMA036 Linear Analysis or FMAF05 Systems and Transforms. Assessment: Written exam, fulfilled laboratory work and partial tests during the course. Further information: The course is part of a block of courses. For a detailed description of the entire block, see ESS000 Electronics, Systems and Signals. Home page: http://www.eit.lth.se/course/ess040.

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

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

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
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.