Study program: Electrical Engineering, 1st bologna cycle
Semester: winter semester
Credits: 6
Lecturer: Assoc. Prof. Vitomir Štruc, PhD
Assistant: Asst. Marija Ivanovska, MSc
Course aims
Students learn about representations and characteristics of signals that can be represented as either (complex) deterministic functions or random functions of time and/or frequency. The students acquire knowledge about different signal types, signal descriptions and processing methods.
Content
The course lectures cover the most important topics from the area of signal processing:
- Introduction: basic definitions, short history of the signal processing theory, position of the signal processing theory in electrotechnical and other sciences.
- Signals classification: signals with finite energy and finite average power, periodical a-periodical, deterministic and random signals.
- Signals representations: the use of the signals representations, types of representations and representations, quality measures, examples of basic function sequences.
- Frequency analysis: Fourier series and Fourier transform.
- Random signals: approaches to the random signal processing, stationary random process, correlation and covariance functions, sampling and time averages, ergodicity.
- Signals correlation and convolution: correlation and convolution definitions and properties for different types of signals, similarity measures, random signal spectrum evaluations, convolution and linear stationary systems, detection of periodic components in combinations of signals.
- Sampling and quantization: purpose of the sampling and quantization, sampling theorem, representation of sampling and reconstruction, types of quantization, quantization error signal and its properties, quantization examples.
- Digital signal processing: discrete Fourier transform.
Literature
Basic literature in Slovene
- Mihelič, F., Signali, Založba FE in FRI, 2006
- Mihelič, F., Gyergyek, L., Ebenšpanger, T., Signali – Priročnik z zbirko rešenih nalog, 3 izdaja, Založba FE in FRIm Ljubljana, 2009
Basic literature in English
- V. Štruc, Laboratory Assignments for Signal Processing – Workbook, e-book, First Edition, Ljubljana, 2015.
Alternatives in English
- Haykin , S. S., Van Veen , B.: Signals and Systems, Wiley, 2003.
- Phillips, C. L., Parr, J. M., Riskin, E. A.: Signals, Systems and Transforms, Prantice Hall, 2003.
- Gray, R. M., Davisson, L. D.: An Introduction to Statistical Signal Processing, Cambridge University Press, 2004.
- Ifeachor, E. C., Jervis, B. W.: Discrete transforms, Digital Signal Processing – A practical Approach, Prentice Hall, 2002.
Freely available literature in English
- Orfanidis S.J.: Introduction to Signal Processing, Copyright (c) 2010 S.J. Orfanidis. [website][PDF]
- Orfanidis S.J.: Optimum Signal Processing, Copyright (c) 1996 S.J. Orfanidis. [website][PDF]
- Gray, R.M. and Davisson L.D.: Introduction to Statistical Signal Processing [website]
Prerequisites
Basics of mathematical analysis, algebra and probability theory.
Additional information
More information on the course as well as material needed for the lab assignments is available from the E-classroom.
Duties of exchange students
In the winter semester 2018 exchange students need to fulfil the following duties to finish the course:
- solve all homework given by the professor,
- attend and successfully finish all lab assignments,
- take the oral exam.