Signal Processing

Higher education teachers: Levstek Andrej
Collaborators: Pirc Matija

Subject description

Prerequisits:

• Enrolment in semester.

Content (Syllabus outline):

• Characterization and classification of signals (continuous and discrete time, periodic and aperiodic, power and energy signals.
• Spectral analysis of continuous-time signals: Fourier series, Fourier transformation.
• LTI systems: impulse response, frequency response, system function poles and zeroes.
• Relationship between continuous and discrete time signals: sampling, reconstruction, aliasing.
• Discrete-time signals and LTI systems; spectral analysis of discrete time signals TDFT, discrete Fourier transformation (DFT). Impulse response sequence, frequency response, the z-transform, poles and zeros of DT system function.
• Fundamental filter structures. Computer aided design of FIR and IIR filters.

Objectives and competences:

• To introduce the fundamentals of signal processing, including the basics of continuous-time signal processing by linear circuits as well as digital processing of discrete signals.
• The acquired knowledge in this field enable proper selection of computer aided tools for signal analysis and processing.

Intended learning outcomes:

• Students should understand
• the importance of frequency domain representation of various kinds of signals;
• the importance of sampling theorem and its consequences;
• various descriptions of LTI systems;
• be able to design simple analogue and digital filters.

Learning and teaching methods:

• Lectures,
• tutorial,
• homeworks.

Study materials

Readings:

1. F. Mihelič, Signali, Založba FE in FRI, Ljubljana, 2006
2. S. Tomažič, S. Leonardis: Zvezni in diskretni signali, Založba FE in FRI, Ljubljana 1998
3. S. Tomažič, S. Leonardis: Diskretni signali in sistemi, Založba FE in FRI, Ljubljana 2004