Signal Processing

University of Newcastle

Course Description

  • Course Name

    Signal Processing

  • Host University

    University of Newcastle

  • Location

    Newcastle, Australia

  • Area of Study

    Electrical Engineering

  • Language Level

    Taught In English

  • Prerequisites

    ELEC2400, MATH2420

  • Course Level Recommendations


    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

  • Host University Units

  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Provides an introduction to the fundamentals of signal processing with an emphasis on filtering and spectral measurement. Both continuous and discrete time processing methods are covered.
    1. Students should learn the fundamental distinctions and trade-offs between analog and digital signal processing paradigms.
    2. Students should become proficient at several key analog and digital filter design methodologies.
    3. Students should be able to design analog filters.
    4. Students should be able to design, implement and test digital filters.
    1. Review of relevant areas of continuous time systems theory with emphasis on Impulse response, Causality, Paley-Wiener Theorem, and Fourier Transform Theory.
    2. Analog filter design methods with an emphasis on Butterworth and Chebychev techniques.
    3. Review of discrete time systems theory with focus on the topics of sampling, aliasing, and reconstruction.
    4. The Discrete and Fast Fourier Transform - theory, use, windowing, design trade-offs and implementation.
    5. The use of the Fast Fourier transform for filtering.
    6. Infinite Impulse Response (IIR) Digital Filter Design using Bilinear transform design methods.
    7. Linear Phase Finite Impulse Response (FIR) Filter design methods with discussion of the use of windowing functions.
    8. FIR filter design by frequency sampling technique.
    9. FIR filter design by impulse invariant technique.

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.