Course detail

Elements of Digital Signal and Image Processing

FEKT-MEDSAcad. year: 2010/2011

Fundamental concepts of signal theory and signal processing systems - time and frequency domains, deterministic and stochastic signals. Digital signals - sampling and reconstruction, discrete spectra. Principles and properties of digital linear filtering - FIR and IIR filters. Noise suppression and signal restoration - averaging, optimal filtering. Discrete correlation analysis and spectral analysis.

Basics of digital image representation, two-dimensional signals and systems. Basic image processing operators, image enhancement - sharpening, noise suppression, contrast and colour transforms.

Language of instruction

English

Number of ECTS credits

3

Mode of study

Not applicable.

Learning outcomes of the course unit

English DSP terminology

Prerequisites

none (basic knowledge of signal processing in Czech terminology is useful)

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

credits based on a short written test (English terminology understanding)

Course curriculum

Fundamental concepts of signal theory and signal processing systems -
time and frequency domains, deterministic and stochastic signals. Digital
signals - sampling and reconstruction, discrete spectra. Principles and
properties of digital linear filtering - FIR and IIR filters. Noise
suppression and signal restoration - averaging, optimal filtering.
Discrete correlation analysis and spectral analysis.

Basics of digital image representation, two-dimensional signals and
systems. Basic image processing operators, image enhancement - sharpening,
noise suppression, contrast and colour transforms.

Work placements

Not applicable.

Aims

Providing basic knowledge of English terminology in the area of signal and image processing

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

lectures - attendance is reccommended

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

J.Jan: Číslicová filtrace, analýza a restaurace signálů, VUTIUM 2002
J.Jan: Digital Signal Filtering, Analysis and Restoration, IEE London (UK) 2000, ISBN 0 85296 760 8
J.Jan: Medical Image Processing, Reconstruction and Restoration. CRC 2006

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-M Master's

    branch M-SVE , 2 year of study, summer semester, elective general
    branch M-KAM , 2 year of study, summer semester, elective general
    branch M-EEN , 2 year of study, summer semester, elective general
    branch M-TIT , 2 year of study, summer semester, elective general
    branch M-EVM , 2 year of study, summer semester, elective general
    branch M-EST , 2 year of study, summer semester, elective general
    branch M-MEL , 2 year of study, summer semester, elective general
    branch M-BEI , 2 year of study, summer semester, elective general
    branch M-SVE , 1 year of study, summer semester, elective general
    branch M-KAM , 1 year of study, summer semester, elective general
    branch M-EEN , 1 year of study, summer semester, elective general
    branch M-TIT , 1 year of study, summer semester, elective general
    branch M-EVM , 1 year of study, summer semester, elective general
    branch M-EST , 1 year of study, summer semester, elective general
    branch M-MEL , 1 year of study, summer semester, elective general
    branch M-BEI , 1 year of study, summer semester, elective general

  • Programme EEKR-CZV lifelong learning

    branch EE-FLE , 1 year of study, summer semester, elective general

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Syllabus

Fundamental concepts of signal theory and signal processing systems -
time and frequency domains, deterministic and stochastic signals. Digital
signals - sampling and reconstruction, discrete spectra. Principles and
properties of digital linear filtering - FIR and IIR filters. Noise
suppression and signal restoration - averaging, optimal filtering.
Discrete correlation analysis and spectral analysis.

Basics of digital image representation, two-dimensional signals and
systems. Basic image processing operators, image enhancement - sharpening,
noise suppression, contrast and colour transforms.