Course detail
Signals 1
FEKT-BPC-SI1Acad. year: 2024/2025
1. Introduction to the theory of signals and systems, basic signal operations, harmonic signal
2. Periodic signals, typical examples, rectangular pulses
3. Non-periodic and quasiperiodic signals, typical examples
4. Fourier transform, spectral function of selected signals
5. Correlation and convolution, properties, practical applications, relationship
6. Continuous-time systems, Laplace transform, transfer function
7. Continuous-time systems analysis, linear and non-linear systems
8. Conversions between analog and digital signals, sampling, quantization
9. Properties of digital signals, reconstruction of signal from samples
10. Discrete Fourier transform, use of DFT, principle of FFT calculation
11. Discrete-time systems, discrete-time systems, characteristics
12. Analysis of discrete-time systems, test signals
13. Practical examples on the use of signal analysis and systems
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Rules for evaluation and completion of the course
All exercises are compulsory. Missed lessons can be made up usually by the end of semester.
Aims
The graduate is able: (a) to measure and describe signals, (b) to define and generate required signal, (c) to estimate spectrum and properties of signals, (d) to convert analog signals and digital signals, (e) to analyze systems, (d) to discuss advantages and disadvantages of different signals and methods for signal processing.
Study aids
Prerequisites and corequisites
Basic literature
KAMEN, E. W., HECK, B. S. Fundamentals of Signals and Systems. Englewood Cliffs: Prentice Hall, 2016. (EN)
MITRA, S. K. Digital signal processing. A computer-based approach. New York: The McGraw-Hill Companies, 2015. (EN)
Recommended reading
Elearning
Classification of course in study plans
- Programme BPC-ECT Bachelor's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Periodic signals, typical examples, rectangular pulses
3. Non-periodic and quasiperiodic signals, typical examples
4. Fourier transform, spectral function of selected signals
5. Correlation and convolution, properties, practical applications, relationship
6. Continuous-time systems, Laplace transform, transfer function
7. Continuous-time systems analysis, linear and non-linear systems
8. Conversions between analog and digital signals, sampling, quantization
9. Properties of digital signals, reconstruction of signal from samples
10. Discrete Fourier transform, use of DFT, principle of FFT calculation
11. Discrete-time systems, discrete-time systems, characteristics
12. Analysis of discrete-time systems, test signals
13. Practical examples on the use of signal analysis and systems
Exercise in computer lab
Teacher / Lecturer
Syllabus
1. Refreshment of the graphics in MATLAB, continuous periodic signals
2. Power of periodic signals, generation of rectangular signal
3. Rectangular periodic signal, spectrum calculation
4. Generation of aperiodic signals
5. Signal sampling
6. Individual compensation for missed hours
Elearning