- Introduction to the Theory of Signals and Systems
- Digital Signal Processing
- Digital Communications
- Stochastic Signals and Telecommunications
- Mobile Communication Networks
- Digital Image Processing and Analysis
| Introduction to the Theory Signals and Systems |
| Introduction to signal and systems theory, Impulse Functions, Linear systems. Linear Time-Invariant Systems, Convolution, Impulse and Frequency Responses. Fourier Transform and Fourier Series, Definition, Properties, Applications. Laplace Transform, Definition, Properties, BIBO Stability of Continuous-Time Linear Systems. State Space, States, State Equations, Controllability, Observability, Exponential Stability, Stabilization of Unstable Systems, State Feedback. Z Transform, Definition, Properties, BIBO Stability of Discrete-Time Linear Systems. |
| Digital Signal Processing |
| Discrete-Time Signals and Systems, Sampling of Continuous-Time Signals, Fourier Transform of a Discrete-Time Signal, Discrete Fourier Transform and Series. Digital Filters, Filters Realizations, Design of FIR filters, Design of IIR filters, Butterworth, Chebyshev and elliptic Filters. Multirate Systems and Filter Banks. Introduction to Stochastic Signal Processing and the Theory of Estimation (Least Squares Filtering, Wiener Filtering). |
| Digital Communications |
| Information Sources and Source Coding; Analog Signal Transmission and Reception; Effect of Noise on Analog Communication Systems; Digital Transmission Through an Additive White Gaussian Noise Channel; Pulse Code Modulation, ADPCM, ADM; Digital Transmission Through Bandlimited AWGN Channels; Digital Transmission via Carrier Modulation (ASK, PSK, FSK, QAM). |
| Digital Communications |
| Information Sources and Source Coding; Analog Signal Transmission and Reception; Effect of Noise on Analog Communication Systems; Digital Transmission Through an Additive White Gaussian Noise Channel; Pulse Code Modulation, ADPCM, ADM; Digital Transmission Through Bandlimited AWGN Channels; Digital Transmission via Carrier Modulation (ASK, PSK, FSK, QAM). |
| Mobile Communication Networks |
| Introduction to the mobility concept in the networks. The basic characteristic of the mobile channel. Small and large scale propagation phenomena. Basic constraints, digital modulation techniques, advanced coding techniques, channel coding and equalization. Smart antennas, spread spectrum communications, diversity. Cellular mobile systems (TDMA, FDMA, CDMA), static and dynamic channel management, Capacity and micro-cells, and hand-off algorithms. GSΜ, 2.5G και 3G systems. Transmission protocols for mobile networks (Aloha, CSMA, PRMA, polling). Ad-hoc networks: architectures, protocols, routing algorithms. |
| Digital Image Processing and Analysis |
| Introduction. Digital Image Fundamentals. Basic concepts on 2-D Signals and Systems. Image Transforms (2-D FT, FFT, Hadamard, DCT). Image Enhancement. Image Restoration. Image Compression. Edge Detection. Image Segmentation. Shape Description. General Description of an Image Analysis System. Color image processing. |
| Topics in Computer Vision and Graphics |
| Image formation and optical sensors. Elements of Perspective Geometry. Camera Calibration, orthographic scene projection, linear and nonlinear estimation algorithms of internal and external camera parameters. Photometry, Shading and Color. Multidimensional processing systems. Multidimensional Linear Systems and Fourier analysis with emphasis on Gabor filters and wavelets. Analysis of images at multiple scales, image pyramids. Texture Analysis: Fractals, filters Gabor, size distributions. Segmentation of images. Shape Analysis: Curvature, distance transform and skeleton. Basic non-linear systems for analysis of shapes and images. Estimation of optical flow and motion. Stereopsis and geometry of multiple images, scene reconstruction from two images and multiple images. Image Alignment and Registration, Mosaics, Image Metamorphosis. Super-resolution. |