Signal and Image Processing
Three SIP faculty will be examining students in four different SIP areas as listed below. The students should specify which 3 of the 4 areas they want to be covered in their exam and the available schedule during the exam week as soon as possible.
LINEAR SYSTEMS THEORY
- Fourier Transforms
- Continuous and Discrete Time Systems
- finding system inputs/outputs, system properties
- Random Variables and Probability
- Probability fundamentals - one and multiple random variables, expectations, characteristic functions, independence/uncorrelatedness.
- Classification of random processes - 2nd order characterization (correlation, power spectral density), ergodicity, stationarity
- Filtering by LTI systems
- Special Processes - Markov Chains/Processes, Gaussian Processes.
DIGITAL SIGNAL PROCESSINGA.V. Oppenheim, R.W. Schafer, J.R. Buck, Discrete Time Signal Processing, Prentice Hall 1999
Chapter 7: Filter Design Techniques
Chapter 8.4-8.10: The Discrete Fourier Transform
Chapter 9: Computations of Discrete Fourier Transform
DIGITAL IMAGE PROCESSINGR.C. Gonzales and R.E. Woods, Digital Image Processing, (2nd edition) Prentice Hall, 2002.
Chapter 2: Digital Image Fundamentals
Chapter 3: Image Enhancement in the Spatial Domain
Chapter 4: Image Enhancement in the Frequency Domain
Chapter 8: Image Compression
Chapter 10: Image Segmentation