Digital Signal Processing

University of Galway

Course Description

  • Course Name

    Digital Signal Processing

  • Host University

    University of Galway

  • Location

    Galway, Ireland

  • Area of Study

    Electrical Engineering

  • Language Level

    Taught In English

  • Prerequisites

    Admission to this course is subject to the agreement of the Head of the Discipline offering the course and will depend on the applicant's academic background in the relevant subject area.

  • Course Level Recommendations

    Upper

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    5
  • Recommended U.S. Semester Credits
    2
  • Recommended U.S. Quarter Units
    3
  • Overview

    Syllabus Outline: Discrete-time systems, time-domain analysis. The z-Transform. Frequency-domain analysis, the Fourier Transform. Digital filter structures and implementation. Spectral analysis with the DFT, practical considerations. Digital filter design: IIR, FIR, window methods, use of analogue prototypes.

    Learning Outcomes
    Analyse a discrete-time system through calculation of its time-domain properties; in particular, calculate its impulse response, or the system output to any arbitrary input signal.
    Describe signals and systems in terms of their z-transforms, and use appropriate techniques to analyse and manipulate them.
    Determine the characteristics of a signal or system in the frequency domain, by means of the Fourier Transform, and determine the frequency content in the signal.
    Given a discrete-time system description, determine an appropriate structure for implementation (e.g. cascade, parallel), and carry out system design.
    Analyse and design specialised digital filters, including notch filters, resonators and oscillators.
    Choose appropriate parameters for spectral analysis using the DFT, across a number of applications.
    Analyse the computational requirments of time-domain and frequency-domain approaches to implementing digital filters.
    Given a required digital filter specification, choose an appropriate design procedure from a number of alternatives, carry out this procedure to determine the required filter transfer function, and verify that the specification has been met.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.

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