Course detail

Signals and Systems

FEKT-CSASAcad. year: 2019/2020

Introduction, motivation, types of signals. Continuous-time signals, Fourier transform, spectrum. Linear,continuous-time systems, input-output description. Stability. Discrete-time signals, sampling. Discrete Fourier transform, spectrum. Linear discrete time systems, input-output description. Stability of the discrete-time systems. Discretization of continuous systems.

Language of instruction

English

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Pavel Jura, CSc.

Department

Department of Control and Instrumentation (UAMT)

Learning outcomes of the course unit

An absolvent is able to:
- compute a freguency spectrum of continuos periodic and non- periodic signal
- demonstrate an input-output description of linear continuos system
- decide about stability of linear continuous system
- compute a freguency spectrum of discrete periodic and non- periodic signal
- demonstrate an input-output description of linear discrete system
- decide about stability of linear discrete system
- convert continuous system on discrete system

Prerequisites

Differential and integral calculus one variable, Fourier series, Fourier transform, linear differential equations, Laplace transform, linear difference equation, Z transform.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teachning methods include lectures with demonstrations of practical computations. Students have to write 4 tests during the semester.

Assesment methods and criteria linked to learning outcomes

30 points for 4small semester tests
70 points semestr exam (only written)

Course curriculum

Introduction, motivation, continuos-time signals.
Fourier transform, frequency spectrum.
Linear, continuous-time systems, differential equations, Laplace transform.
Transfer function, zeros and poles, frequency response.
Frequency characteristics of the linear system.
Step response, impulse response.
Stability of the continuous systems.
Discrete time signals, sampling of the continuous-time signal.
Discrete Fourier transform, the spectrum of the discrete-time signal.
Discrete-time system, difference equations, Z transform.
Transfer function, zeros and poles, frequency response, frequency characteristics.
Step response, impulse response. Stability of the discrete systems, discretization of continuous-time systems.

Work placements

Not applicable.

Aims

To acquaint with the fundamentals of signals and systems with the continuous and discrete time. To learn to apply the fundamentals to real signals and 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

Chi-Tsong Chen:System and Signal Analysis,Saunders College publishing, 1994. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC Bc. Bachelor's

    branch BC-AMT , 2 year of study, winter semester, compulsory
    branch BC-SEE , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

52 hod., compulsory

Teacher / Lecturer

prof. Ing. Pavel Jura, CSc.

Syllabus

Introduction, motivation, continuos time signals.
Fourier transform, fequency spectrum. Examples.
Linear, time continuous systems, differential equation, Laplace transform. Examples.
Transfer function, zeros and poles, frequency response. Examples.
Frequency characteristics of the linear system. Examples.
Step response, impulse response. Examples.
Stability of the continuous systems. Examples.
Discrete time signals, sampling of the continuous time signal. Examples.
Discete Fourier transform, the spectrum of the discrete time signal. Examples.
Discrete time system, difference equation, Z transform. Examples.
Transfer function, zeros and poles, frequency response, fequency characteristics. Examples.
Step response, impulse response, stability of the discrete systems. Examples.
Discretization of continuous time systems. Examples.