Kursbeskrivning
Signal Processing in Multimedia
The course Signal Processing in Multimedia is given for students at Lund University and at Zhejiang University. The course is compulsory for Lund University students in Electrical Engineering, Computer Science and Information and Communications. This instance of the course is given in Hangzhou, China, at Zhejiang University, for students from Lund University and Zhejiang University.
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
Teachers: Benny Lövström (benny.lovstrom@bth.se)(phone nr in China: 132 96719315), Jiandan Chen (chenjiandan@gmail.com)(phone nr in China: 15162487158) and Ronnie Lövström (ronnie@bems.se)
Introduction
Welcome to the course in Digital Signal Processing, or Signal Processing in Multimedia. The course will be held by Benny Lövström, Jiandan Chen and Ronnie Lövström. The course was given first time during autumn 2009 for the students following the China line at LTH, Lund University. Planned teaching hours: 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). There is also a newer version, 'Digital Signal Processing: Pearson New International Edition' which can be used in the course but the teaching will mainly refer to the previous version.
- Examples, solutions and laboratory work from the department.
- Formula table.
- Copy of slides from the lectures will be distributed during the course.
- Additional material handed out during the course or made available for download from the course web page.
Lectures and problem solving sessions
Ten lectures and ten problem solving sessions are included in the course. The schedule for the lectures and problem solving sessions will be distributed via the homepage.
Lecture plan:
Lecture 1 Chapter 1,2. Discrete time signals.
Lecture 2 Chapter 2. Discrete time systems.
Lecture 3 Chapter 3. Z-transform.
Lecture 4 Chapter 3. Z-transform.
Lecture 5 Chapters 3,4. Z-transform, Fourier transform.
Lecture 6 Chapters 3,4. Z-transform, Fourier transform.
Lecture 7 Chapter 5. LTI-systems with Z-transform, Fourier transform.
Lecture 8 Chapter 6. Sampling and reconstruction.
Lecture 9 Chapter 7. DFT.
Lecture 10 Chapters 7,9. DFT, FIR filters.
Problem solving sessions:
Schedule for the problem solving lessons will be distributed on the home page at course start. The problems are mainly from the textbook and problems with solutions will be distributed to the students.
Laboratory work
The laboratory work is compulsory. Two laboratory works and two preparation excercises are included in the course.
Equipment: PC computers + microphones and headphones.
Software: MATLAB (or similar program)
The schedule for the laboratory work will be presented during the lectures and distributed via the homepage.
Examination
The examination consists of a final exam combined with homework during the course. The homeworks are compulsory and passed homeworks give extra marks (max 1 mark) which will be added to the result from the final exam (valid for one year). The final exam consists of 5 problems. Each problem will give maximum 1 mark.
Limits: | |
0.0-2.9 | not passed |
3.0-3.9 | gives grade 3 |
4.0-4.9 | gives grade 4 |
>5.0 | gives grade 5 |
To pass the course, you must pass the final exam and fulfill the laboratory works including the homework.
Home works:
Home works are included in the course and are compulsory. The aim of the home works is to
· A: get a continuous learning process.
· B: give feedback to the students.
All problems in the homeworks must be solved individually but the students may ask the teachers for help if they get any problems. The home works will be returned with comments and perhaps corrections. Then you have to add the corrections to your solutions.