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Syllabus |
1. Continuous and Discrete signals.(Signal representation, Linear and Time Invariant Sistems, Time and frequency representation, Sampling)
2. Filters(Bode diagrams, Continuous signals filters, Digital signals filters – IIR and FIR)
3. Random Signals (Random signal concept, Stochastic signals, Ergodic Process, Stationary signals, Correlation and Powers spectrum functions, Wiener Filters, Kalman Filter)
4. Image Processing and Analysis( Image acquisition and representation, Spatial convolution, Image Filtering, Bidimensional Transforms, Image spectrum analysis, Bidimensional filtering, Binary and multilevel morphology) (Basis of Image Analysis, Edge detectors, Image segmentation, Image description, bidimensional estimators filters (Wiener and Kalman)
5. Pattern Recognition(Signal and Image Characterization, Classification Techniques).
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Main Bibliography |
1 S. Haykin and B. Van Veen, Signals and Systems, John Wiley & Sons, New Jersey, 2nd ed, 2003
2 M. H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley & Sons, NY, 1996
3 W. K. Pratt, Digital Image Processing, John Wiley & Sons, Inc.,3rd ed, 2001
4 L. G. Shapiro and George C. Stockman, Computer Vision, Prentice Hall, Upper Saddle River, New Jersey, 2001
5 J.G. Proakis and D.G. Manolakis, Digital Signal Processing: Principles, Algorithms, Prentice Hall, New Jersey, 4th ed, 1996
6 A. V. Oppenheim and A. S. Willsky, Signals & Systems, Prentice Hall, Upper Saddle River, New Jersey, 2nd ed, 1997
7 J. W. Woods, Multidimensional Signal, Image and Video Processing and Coding, Acad Press, 2006
8 R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, Wiley Interscience, 2nd ed, 2000
9 S. Theodoridis, K. Koutroumbas, Pattern Recognition, Academic Press, 4th ed, 2009
10 B. Girod, R. Rabenstein, and A. Stenger, Signals and Systems, John Wiley & Sons, 2001
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