Course detail

Signals and Systems

FEKT-KSISAcad. year: 2011/2012

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

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Milan Sigmund, CSc.

Department

Department of Radio Electronics (UREL)

Learning outcomes of the course unit

The students become thoroughly familiar with the continuous time signals and systems, discrete-time signals and systems, continuous-time and discrete-time random signals, sampling and signal recovery, analog and digital communication systems.

Prerequisites

The subject knowledge on the secondary school level is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every.

Course curriculum

1. Different types of signals, basic operations with signals in time domain, harmonic signal.
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

Not applicable.

Aims

The aim of the course is to make students familiar with the continuous time signals and systems, discrete-time signals and systems, continuous-time and discrete-time random signals, sampling and signal recovery, analog and digital communication systems.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-BK Bachelor's

    branch BK-EST , 2. year of study, winter semester, compulsory

  • Programme EEKR-CZV lifelong learning

    branch ET-CZV , 1. year of study, winter semester, compulsory

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Signals. Examples, definition. Harmonic signal.
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

13 hours, compulsory

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Description of signals.
Fourier series expansion. Examples.
Properties of the Fourier transform.
Random signals. Sampling. Quantisation noise.
Discrete Fourier transform.
Amplitude and frequency modulation, keying.

Laboratory exercise

13 hours, compulsory

Teacher / Lecturer

prof. Ing. Milan Sigmund, CSc.

Syllabus

Introduction.
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.