Course Code: DS-301
The course seeks to introduce telecommunication systems by focusing on the technologies of the physical layer. It provides the basic principles of analysis and design of telecommunication systems and the necessary mathematical tools. Moreover, basic analogue and digital communication systems are presented. The students are introduced in the telecommunications fundamentals and the basic transmission principles.
- Signals in telecommunications (signal types, basic signals, signal transformations).
- systems in telecommunications(categories, linear time invariant systems, impulse response, convolution, cross and auto correlation).
- Geometrical signal representation (Hilbert space, signal space, bases, orthogonal signals, Gram-Schmidt ortho-normalization).
- Fourier series (periodic signals, real signals and trigonometric Fourier series representation; response of linear time invariant systems to periodic signals, Parseval theorem).
- Fourier transformation (real signals, periodic signals, energy and power spectral density).
- Filters (ideal filters and categories).
- Noise (white noise and AWGN model).
- Capacity (Nyquist and Shannon limits).
- Sampling theorem; quantization, PCM, analogue modulation techniques (AM, FM).
- Haykin S. (2001): Communication Systems, 4th Edition, Wiley.
- Proakis J. G. & Salehi M. (2005): Fundamentals of Communication Systems, Pearson Prentice Hall.