Introductory Signal Processing

Victoria University of Wellington

Course Description

  • Course Name

    Introductory Signal Processing

  • Host University

    Victoria University of Wellington

  • Location

    Wellington, New Zealand

  • Area of Study

    Computer Engineering

  • Language Level

    Taught In English

  • Prerequisites

    ECEN 220 or MATH 243 or 244;

  • 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

  • Credit Points

    15
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    Description
    This course builds on the material of ECEN 220, providing more detail on signal analysis and system design. Topics covered include orthogonality, Fourier series, Fourier transform, the autocorrelation function, fast Fourier transform, Z transform, linear systems, filter design, filter structures, modulation and noise.

    Course Learning Objectives
    At the completion of this course, students will be able to perform the following, and in doing so exhibit the graduate attributes (linked in the electronic copy of this document)

    1. Apply the principle of orthogonality of vectors and functions to approximation problems, and be able to derive decompositions based on various orthogonal function sets. 3(a) .
    2. Calculate and apply Fourier transforms for functions that are periodic or nonperiodic and that are discrete or continuous in time, both analytically and numerically. 3(a) .
    3. Calculate power spectral density via the Fourier transform, and via the autocorrelation function. 3(a) .
    4. Apply windowing to spectral estimation. 3(a) .
    5. Compute the response of a linear time invariant system (continuous or discrete time) to arbitrary input. 3(a) .
    6. Design both analogue and digital filters to meet a given frequency specification, and be able to implement digital filters in software. 3(c).

    Assessment
    10 written assignments 20%
    8 laboratory sessions 16%
    Two mid-term tests 19%
    Final Examination 45%

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

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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.

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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.