INF5410 Array signal processing INF5410 Array signal processing ...
Outline Signal processing II - Universitetet i · PDF fileSignal processing II ... Real world...
4
Signal processing II Introduction, INF4480 Roy Edgar Hansen Department of Informatics, University of Oslo January 2014 RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 1 / 17 Outline Outline 1 Motivation 2 Course overview RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 2 / 17 Motivation Real world signal processing Always signals in noise The signal can be random in nature Noise must be treated in the proper way Course Ambition The students will learn signal processing techniques for real world signals in noise. Both the theory, the methods and algorithms and how it works. RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 4 / 17 Motivation Applications Imaging: Radar, Sonar, Seismics, Ultrasonics, Optics Sensor signal processing Wireless communication Stock marked predictions Image processing Speech recognition Audio and video processing Music Cybernetics RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 5 / 17
Transcript of Outline Signal processing II - Universitetet i · PDF fileSignal processing II ... Real world...
Signal processing IIIntroduction, INF4480
Roy Edgar Hansen
Department of Informatics, University of Oslo
January 2014
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 1 / 17
Outline
Outline
1 Motivation
2 Course overview
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 2 / 17
Motivation
Real world signal processing
Always signals in noiseThe signal can be random in natureNoise must be treated in the properway
Course AmbitionThe students will learn signal processing techniques for real worldsignals in noise. Both the theory, the methods and algorithms and howit works.
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 4 / 17
Motivation
Applications
Imaging:Radar, Sonar, Seismics, Ultrasonics, OpticsSensor signal processingWireless communicationStock marked predictionsImage processingSpeech recognitionAudio and video processingMusicCybernetics
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 5 / 17
Motivation
Example: Sonar data
The HUGIN autonomous underwater vehiclesynthetic aperture sonar
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 6 / 17
Motivation
Original sonar image
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 7 / 17
Motivation
After characterisation of the noise and filtering
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 8 / 17
Course overview
Background knowledge
INF3470 Digital signal processingMAT1120 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 10 / 17
Course overview
Related Courses
INF-GEO4310 ImagingINF4300 Digital image analysisUNIK4170 Digital communicationsGEO4280 Seismic signal processingUNIK4400 Imaging radarUNIK4500 Stocastic systemsINF5410 Array signal processing
http://www.uio.no/studier/emner/matnat/ifi/
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 11 / 17
Course overview
Course materiel
M. H. Hayes.Statistical Digital Signal Processing and Modeling.John Wiley & Sons, 1996.
www.akademika.no
www.capris.no
www.amazon.com
www.amazon.co.uk
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 12 / 17
Course overview
Additional (complementary) texts
C. W. Therrien.Discrete Random Signals and Statistical Signal Processing.Prentice Hall, 1992.
D. H. Johnson and D. E. Dudgeon.Array Signal Processing: Concepts and Techniques.Prentice Hall, 1993.
T. Dutoit and F. Marques.Applied Signal Processing: A Matlab-Based Proof of Concept.Springer Science, 2009.
J. H. McClellan, C. S. Burrus, A. V. Oppenheim, T. W. Parks, R. W.Schafer, and H. W. Schuessler.Computer-Based Exercises for Signal Processing Using MATLAB 5.Prentice Hall, 1997.
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 13 / 17
Course overview
Other relevant books
D. G. Manolakis, V. K. Ingle, and S. M. Kogon.Statistical and Adaptive Signal Processing.McGraw-Hill, 2000.
L. L. Scharf.Statistical Signal Processing: Detection, Estimation and Time SeriesAnalysis.Addison-Wesley, 1991.
R. Shiavi.Applied Statistical Signal Analysis.Academic Press, 1999.
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 14 / 17
Course overview
People and web pages
LecturersRoy E HansenAndreas AustengVikash PandeySverre Holm
University web pageswww.uio.no/studier/emner/matnat/ifi/INF4480/
www.mn.uio.no/ifi/forskning/grupper/dsb/
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 15 / 17
Course overview
Course plan
The course is project based with 7 different projectsEach project has one week with lectures and one week withproject workEach project consists of a set of computer based exercises inMATLABEach project will be worked through in the classAt least four projects must be completed and approved to be ableto complete the course
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 16 / 17
Course overview
Topics and Projects
Week Month Lecturer Topic3+4 January Roy Stocastic processes5+6 February Roy Estimation theory7+9 February Roy Spectral estimation10+11 March Andreas Detection theory12+13 March Andreas Signal modelling15 April Vikash Adaptive filters17 April Sverre Audio and video processing18-19 May Vikash Groups21 May All Summary22 May All Potential week for exam
www.uio.no/studier/emner/matnat/ifi/INF4480/v14/
RHn, INF4480 (Ifi/UiO) signal processing Jan. 2014 17 / 17
