Course detail
Signals and Systems
FEKT-KSISAcad. year: 2012/2013
Continuous time signals and systems. Discrete-time signals and systems. Continuous-time and discrete-time random signals. Sampling and signal recovery, digital signals. Telecommunication systems. Baseband digital communications. Analog and digital modulations in communication systems.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. Periodic signals v technical praxis, rectangular pulses.
3. Fourier transform, useful properties, spectral function of selected signals.
4. Linear nonparametric systems, ideal network.
5. Signals in random processes, stacionarity and ergodicity.
6. Correlation and convolution, properties, applications, interrelationship.
7. Conversion between analog signals and digital signals, sampling and signal recovery.
8. Operations with discrete signals, discrete Fourier series.
9. Discrete Fourier transform, applications of DFT, algorithm of FFT.
10. Discrete random signals.
11. Discrete systems, elementary blocks, characteristics.
12. Signals and systems for data transmission in communication.
13. Signal processing in the fields of multimedia, medicine, and security.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
Periodic signals. Fourier series expansion. Properties.
Fourier Transform. Properties of the Fourier transform.
Linear time-invariant systems and their description. Filtering.
Continuous-time random signals.
Sampling and signal recovery. Digital signals.
Discrete-time signals. Discrete Fourier series.
Discrete Fourier transform. FFT.
Random sequences. Pseudorandom sequences. PSD.
Discrete-time systems. Z transform. Examples.
Communication systems. Baseband signals.
Amplitude modulation. Frequency modulation. ASK, FSK, PSK.
I-Q modulations. Multiplexing and multiple-access techniques.
Exercise in computer lab
Teacher / Lecturer
Syllabus
Fourier series expansion. Examples.
Properties of the Fourier transform.
Random signals. Sampling. Quantisation noise.
Discrete Fourier transform.
Amplitude and frequency modulation, keying.
Laboratory exercise
Teacher / Lecturer
Syllabus
Spectral analysis of the periodic signals.
Amplitude and frequency modulation. Analysis of the random signal.
Sampling, aliasing.
Digital signal processing of the own speech.
The frequency response of the discrete-time system.