Department of Informatics, University of Oslo. January 2014 ... Prentice Hall, 2003
. ... Applied Signal Processing: A Matlab-Based Proof of Concept. Springer ...
Outline
Outline
Signal processing II Introduction, INF4480 1
Motivation
2
Course overview
Roy Edgar Hansen Department of Informatics, University of Oslo
January 2014
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signal processing
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RHn, INF4480 (Ifi/UiO)
Motivation
signal processing
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Motivation
Real world signal processing
Applications Imaging: Radar, Sonar, Seismics, Ultrasonics, Optics
Always signals in noise The signal can be random in nature
Sensor signal processing
Noise must be treated in the proper way
Wireless communication Stock marked predictions Image processing
Course Ambition
Speech recognition
The students will learn signal processing techniques for real world signals in noise. Both the theory, the methods and algorithms and how it works.
Audio and video processing
RHn, INF4480 (Ifi/UiO)
signal processing
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Music Cybernetics
RHn, INF4480 (Ifi/UiO)
signal processing
Motivation
Motivation
Example: Sonar data
Original sonar image
The HUGIN autonomous underwater vehicle synthetic aperture sonar
RHn, INF4480 (Ifi/UiO)
signal processing
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RHn, INF4480 (Ifi/UiO)
Motivation
signal processing
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Course overview
After characterisation of the noise and filtering
Background knowledge INF3470 Digital signal processing MAT1120 Mathematics (linear algebra) STK1100 Statistics (probability, random numbers, moments) INF1000 Object oriented programming J. H. McClellan, R. W. Schafer, and M. A. Yoder. Signal Processing First. Prentice Hall, 2003. A. Ambardar. Digital Signal Processing - A Modern Introduction. CL-Engineering, 2006.
RHn, INF4480 (Ifi/UiO)
signal processing
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RHn, INF4480 (Ifi/UiO)
signal processing
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Course overview
Course overview
Related Courses
Course materiel
INF-GEO4310 Imaging
M. H. Hayes.
INF4300 Digital image analysis
Statistical Digital Signal Processing and Modeling.
UNIK4170 Digital communications
John Wiley & Sons, 1996.
GEO4280 Seismic signal processing
www.akademika.no
UNIK4400 Imaging radar
www.capris.no
UNIK4500 Stocastic systems
www.amazon.com
INF5410 Array signal processing
www.amazon.co.uk
http://www.uio.no/studier/emner/matnat/ifi/
RHn, INF4480 (Ifi/UiO)
signal processing
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RHn, INF4480 (Ifi/UiO)
Course overview
signal processing
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Course overview
Additional (complementary) texts
Other relevant books
C. W. Therrien. Discrete Random Signals and Statistical Signal Processing.
D. G. Manolakis, V. K. Ingle, and S. M. Kogon.
Prentice Hall, 1992.
Statistical and Adaptive Signal Processing. McGraw-Hill, 2000.
D. H. Johnson and D. E. Dudgeon. Array Signal Processing: Concepts and Techniques.
L. L. Scharf.
Prentice Hall, 1993. T. Dutoit and F. Marques.
Statistical Signal Processing: Detection, Estimation and Time Series Analysis.
Applied Signal Processing: A Matlab-Based Proof of Concept.
Addison-Wesley, 1991.
Springer Science, 2009.
R. Shiavi.
J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W. Schafer, and H. W. Schuessler.
Applied Statistical Signal Analysis. Academic Press, 1999.
Computer-Based Exercises for Signal Processing Using MATLAB 5. Prentice Hall, 1997. RHn, INF4480 (Ifi/UiO)
signal processing
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signal processing
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Course overview
Course overview
People and web pages
Course plan
Lecturers Roy E Hansen Andreas Austeng
The course is project based with 7 different projects
Vikash Pandey
Each project has one week with lectures and one week with project work
Sverre Holm
Each project consists of a set of computer based exercises in MATLAB
University web pages www.uio.no/studier/emner/matnat/ifi/INF4480/
Each project will be worked through in the class
www.mn.uio.no/ifi/forskning/grupper/dsb/
RHn, INF4480 (Ifi/UiO)
signal processing
At least four projects must be completed and approved to be able to complete the course
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Course overview
Topics and Projects Week 3+4 5+6 7+9 10+11 12+13 15 17 18-19 21 22
Month January February February March March April April May May May
Lecturer Roy Roy Roy Andreas Andreas Vikash Sverre Vikash All All
Topic Stocastic processes Estimation theory Spectral estimation Detection theory Signal modelling Adaptive filters Audio and video processing Groups Summary Potential week for exam
www.uio.no/studier/emner/matnat/ifi/INF4480/v14/
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signal processing
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