281755

Digital Signal Processing

This course studies the processing of discrete-time signals in the time and frequency domains. Students are introduced to the design and realisations of digital filters; the theory and application of transform techniques including discrete Fourier transform and discrete wavelet transform; the application of multi-rate signal processing concepts to efficient sample rate conversion and filter banks; and adaptive filtering algorithms.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

281755

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

700-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

15

Subject

Electronics and Information Engineering

Course planning information

Course notes

The course prerequisites can be waived for postgraduate students who have appropriate background preparation. Students should apply for a prerequisite waiver by completing a special permission enrolment request in the student portal. See here for more information. https://www.massey.ac.nz/study/admission-and-enrolment/waiting-lists-and-special-permission-to-enrol-in-courses/#Specialpermission

Students must achieve a minimum average of 40% in the module tests and a minimum average of 40% in the lab project reports.

Prerequisite courses

Complete first

You need to complete the above course or courses before moving onto this one.

Restrictions

Similar content
143333 or 281333 or 124344

You cannot enrol in this course if you have passed (or are enrolled in) any of the course(s) above as these courses have similar content or content at a higher level.

General progression requirements

You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Design and implement finite impulse response and infinite impulse response digital filters.
  • 2 Apply Discrete Fourier Transform/ Fast Fourier Transform to spectral analysis.
  • 3 Perform sample rate conversion using polyphase systems.
  • 4 Implement discrete wavelet transform using filter banks.
  • 5 Apply adaptive filtering to a number of different types of time-varying signals.

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Test 2 15%
Written Assignment 2 20%
Test 1 15%
Written Assignment 1 15%
Test 3 4 5 15%
Written Assignment 3 4 5 20%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

There are no set texts for this course.