Course Catalog 2010-2011
International

Basic Pori International Postgraduate Open University

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Opinto-opas 2010-2011

Signal Processing, 30 cr

Type of the study block

Major Studies

Contact

Ioan Tabus

Learning outcomes

- Majoring in Signal Processing deepens the student’s theoretical and practical skills of analysing signals and designing signal processing methods and systems, especially for one of the major application areas of signal processing. Advanced studies in signal processing teach the student to independently select the optimal signal processing methods when confronted with a new kind of signal processing problem. The goal is to train the students to design hardware and software for signal processing systems.
- Basis for doctoral studies in the future.

Prerequisites

Study block Credit points Mandatory/Advisable
Information Technology 25 cr Mandatory

Content

Compulsory courses

Course Credit points Class
SGN-1656 Signal Processing Laboratory 5 cr  
SGN-1986 Signal Processing Thesis Seminar 1 cr I  
SGN-1996 Signal Processing Thesis Seminar Presentation 0 cr  
SGN-2016 Digital Linear Filtering I 5 cr  
Total 11 cr  

Alternative studies

At least 15 credits worth of courses must be selected from the list of optional courses.

Must be selected at least 15 points of courses

Course Credit points
SGN-2056 Digital Linear Filtering II 4 cr
SGN-2106 Multirate Signal Processing 6 cr
SGN-2206 Adaptive Signal Processing 5 cr
SGN-2306 Signal Compression 5 cr
SGN-2556 Pattern Recognition 5 cr
SGN-2706 Nonlinear Signal Processing 5 cr
SGN-3057 Digital Image Processing II 6 cr
SGN-3106 Digital Video Processing 4 cr
SGN-3507 Introduction to Medical Image Processing 5 cr
SGN-4106 Speech Recognition 5 cr

Supplemental courses

Please select courses from the list to complete the study block`s requirement (30)

Course Credit points
BME-1157 Biomedical Engineering: Signals and Systems 2 cr
BME-2606 eHealth 5 cr
BME-2636 Medical Image Analysis 5 cr
LTT-3106 Medical Imaging Methods 6 cr
LTT-4106 Processing of Physiological Signals 5 cr
LTT-6306 Neuroinformatics 5 cr
MIT-2016 Metrology 7 cr
SGN-1706 Signal Processing Project 5-8 cr
SGN-1850 Special Topics in Signal Processing 1-5 cr
SGN-2407 Spectrum Estimation and Array Signal Processing 5 cr
SGN-2607 Statistical Signal Processing 6 cr
SGN-2756 Robust Estimation 3 cr
SGN-2806 Neural Computation 5 cr
SGN-3156 Video Compression 4 cr
SGN-3637 Human Visual System 4-5 cr
SGN-4507 Speech Recognition Laboratory 3 cr
SGN-5016 Multimedia Signal Processing 4 cr
SGN-5106 Multimedia Systems and Communications 4 cr
SGN-5226 Content Sharing Technologies and Services 4 cr
SGN-5306 Knowledge Mining 3 cr
SGN-5406 Virtual Reality 5 cr
SGN-5456 3D Media Technology 4 cr
SGN-5507 Multimedia Analysis and Retrieval 5-8 cr
SGN-5806 Wireless Ambient Multimedia 5 cr
SGN-6058 Introduction to Biology of the Cell 3 cr
SGN-6457 Computational Models in Complex Systems 5 cr
TKT-1426 Digital Design for FPGA 6 cr
TKT-2307 Wireless Sensor Network Applications 5 cr
TKT-2456 Wireless Sensor Networks 5 cr
TKT-2536 Introduction to Satellite Positioning 5 cr
TKT-9617 Scientific Publishing 6 cr
TLT-5206 Communication Theory 5-7 cr
TLT-5806 Receiver Architectures and Signal Processing 5-7 cr
TTE-5516 Machine Vision and Optical Measurements 6 cr

Additional information

Signal processing and its applications are playing an increasingly important role in our everyday lives. Smart phones, MP3 players, DVD players and digital TV broadcasting are just a short excerpt from a long and continuously developing list of applications based on advanced signal processing methods. The Signal Processing major subject's courses deal with processing and interpreting digital signals in the wide sense of their information content. The mathematical basis of signal processing methods and algorithms is particularly emphasised. Key application areas of these algorithms comprise telecommunications, instrumentation and automation, as well as various kinds of speech, audio, image and video representation, compression, processing and delivery. The student can complete only one of the three advanced study modules in Signal Processing (Computational Systems Biology, Multimedia or Signal Processing).

Last modified09.03.2011