Outline Outline Signal processing II Introduction, INF4480 1 Motivation 2 Course overview Roy Edgar Hansen Department of Informatics, University of Oslo January 2014 RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 1 / 17 RHn, INF4480 (Ifi/UiO) Motivation signal processing Jan. 2014 2 / 17 Jan. 2014 5 / 17 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 Jan. 2014 4 / 17 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 Jan. 2014 6 / 17 RHn, INF4480 (Ifi/UiO) Motivation signal processing Jan. 2014 7 / 17 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 Jan. 2014 8 / 17 RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 10 / 17 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 Jan. 2014 11 / 17 RHn, INF4480 (Ifi/UiO) Course overview signal processing Jan. 2014 12 / 17 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 Jan. 2014 13 / 17 RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 14 / 17 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 Jan. 2014 15 / 17 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/ RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 17 / 17 RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 16 / 17
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