EPN-V2

ACIT4710 Digital Signal and Image Processing Emneplan

Engelsk emnenavn
Digital Signal and Image Processing
Omfang
10.0 stp.
Studieår
2022/2023
Emnehistorikk
  • Innledning

    Signal processing defines the mathematical tools used to analyze, model and operate on measured data from physical signals and their sources. In digital signal processing (DSP) the following topics are lectured: the different domains for describing discrete signals and linear time invariant systems, digital filters and frequency analysis. Images are two-dimensional signals and similar;analytic methods apply.;

  • Anbefalte forkunnskaper

    Signal Processing or knowledge of the Fourier and Laplace transforms. Some knowledge of Matlab progamming.

  • Forkunnskapskrav

    No formal requirements over and above the admission requirements.

  • Læringsutbytte

    On completion of this course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:;

    Knowledge

    The course will give the students in depth knowledge on the following topics;

    • Sampling, digitalization and;reconstruction.;
    • How to obtain the signal spectrum of digital and analog;signals;
    • How to obtain the frequency response of digital;systems;
    • Methods of filtering discrete signals
    • Digital image formats

    ;

    Skills

    The student will know how to:;

    • Describe digital signals and systems mathematically in the time domain
    • Describe discrete signals and systems in the frequency domain and the Z-domain;
    • Describe digital images mathematically in real space and frequency space;
    • Describe linear time invariant systems using difference equations, impulse responses,;and transfer functions;
    • Analyze time discrete systems in the frequency domain ;
    • Use discrete filters and the digitized versions of analog filters: FIR and;IIR;
    • Apply post processing of images for filtering, noise reduction, edge detection and presentation.

    ;

    General competence

    The student will have general competence on:

    • Frequency spectrums, impulse responses,;frequency responses,; convolution and;modulation;
    • Fourier-series (FS), Fourier transform;(FT).;
    • Sampling, reconstruction and;aliasing;
    • Implementation of DSP-filters
    • Improving image presentation
  • Innhold

    This course will contain the following topics:;

    • Sampling, reconstruction and;aliasing;
    • Impulse response and difference equations
    • Fourier series and Fourier;transform;
    • Frequency analysis and frequency response
    • Transfer;functions, filter design of FIR and IIR filters;
    • Image presentation and processing
  • Arbeids- og undervisningsformer

    Lectures.

    Exercises;

    Computer exercises.

  • Arbeidskrav og obligatoriske aktiviteter

    None

  • Vurdering og eksamen

    Individual written exam, 3 hours

    The exam grade can be appealed.

    ;

    New/postponed exam

    In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

    In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

  • Hjelpemidler ved eksamen

    All written material, but no communication will be allowed.

  • Vurderingsuttrykk

    Grade scale A-F.

  • Sensorordning

    Two internal examiners. External examiner is used periodically.

  • Emneansvarlig

    Associate Professor Nils Sponheim