To Univ. of Tromso
To Dept. of Phys & Tech
To Robert's home
Information
Publications
Theses
Teaching
Int'l Experience
References
I Florida
Robert Jenssen   
Position:  Associate Professor
Office:  HB-214, NOBS
Phone:  +47 776 46493
Telefax:  +47 776 45580
E-mail:  robert.jenssen@uit.no

FYS-2010: Digital Image Processing. Fall 2009. Syllabus: Digital Image Fundamentals, Intensity Transformations and Spatial Filtering, Filtering in the Frequency Domain, Image Restoration and Reconstruction, Color Image Processing, Image Segmentation. Textbook: R. C. Gonzalez and R. E. Woods, "Digital Image Processing," Third Edition, Pearson Prentice Hall, 2008.

FYS-2006: Signal Processing. Fall 2005, fall 2006. Syllabus: Sinusoidal Signals, Spectrum Representation, Sampling and Reconstruction, FIR-Filters, Frequency Response of LTI systems, IIR-Filters, Z-Transform, Continuous Time LTI systems, Fourier Transforms. Textbook: J. H. McClelland, R. W. Schafer and M. A. Yoder, "Signal Processing First," Pearson Prentice Hall, 2003.

FYS-2007: Statistical Signal Theory. Spring 2006, spring 2007. Syllabus: Random Variables, Functions of Random Variables, Expectation and Introduction to Estimation, Random Vectors and Parameter Estimation, Random Sequences, Random Processes, Periodogram Estimation, Windowed Periodogram, Welch Method. Textbook: H. Stark and J. W. Woods, "Probability and Random Processes," Prentice Hall, 2004. Alfred Hanssen, "Introduction to Statistical Signal Processing and Data Analysis," Lecture Notes, University of Tromso.

FYS-3012: Pattern Recognition. Fall 2003. Syllabus: Bayes Classifiers, Linear Classifiers (Perceptron, LMS rule, SOS rule), Non-Linear Classifiers (MLP, Backpropagation, Radial-Basis-Networks), Feature Selection (Preprocessing, ROC, Divergence measures), Feature Generation (Linear transforms, Texture Characterization), Clustering (Proximity measures, Sequential Algorithms, Hierarchical Algorithms, K-means). Textbook: S. Theodoridis and K. Koutroumbas, "Pattern Recognition," Academic Press, 1999.

FYS-3011: Detection Theory. Fall 2001. Syllabus: Linear Algebra and Multivariate Normal Theory, Sufficiency and MVUB Estimators, Neyman Pearson Detectors, Bayes Detectors. Textbook: L. L. Scharf, "Statistical Signal Processing; Detection, Estimation and Time Series Analysis," Addison Wesley, 1991.