Kursbeskrivning
Digital Signal Processing
Course description 2013
The course Digital Signal Processing is given for students at Lund University. The course is compulsory for students in Electrical Engineering, Computer Science and Information and Communications.
Credits: 7.5 ECTS credits (60 credits corresponds to one year full time studies).
Recommended prerequisites: Calculus in one variable.
Assessments: Laboratory work, homeworks and written exam.
Course coordinator: Benny Lövström (benny.lovstrom@bth.se)
Teachers: Benny Lövström (benny.lovstrom@bth.se) and Jiandan Chen (chenjiandan@gmail.com)
Introduction
Welcome to the course in Digital Signal Processing. The course will be held by Benny Lövström and Jiandan Chen. The course was given first time during autumn 2009 for the students following the China line at LTH, Lund University. Schedule 2013: Lectures: 20 h. Problem solving sessions: 20 h. Laboratory work including homeworks: 14 h.Aim
We daily use equipment 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 and LTE, 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. The course also presents the fundamentals on digital signal processing such as Fourier transform of analogous signals, Fourier transform of discrete time signals, the discrete Fourier transform (DFT), z-transform and input-output relations.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 analogous signals using A/D and D/A conversion is studied. In the laboratory work, practical applications of digital signal processing such as speech signal processing and biomedical signals processing are treated. Also, basic filter design using MATLAB is covered in the course.Literature
- John G. Proakis, Dimitris G. Manolakis, 'Digital Signal Processing: Principles, Algorithms, and Applications', Fourth Edition, Chapters 1-10. Pearson Prentice Hall, ISBN 0-13-187374-1 (or the international edition: ISBN 0-13-228731-5)
- Additional material handed out during the course