School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Digital Signal Processing
  • Unit Code

    ENS3552
  • Year

    2016
  • Enrolment Period

    1
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

This unit introduces the basic concepts and algorithms in digital signal processing, including convolution and correlation, matched filtering, z-transform, discrete Fourier transform, FFT algorithms, digital FIR and IIR filter design, spectrum analysis and estimation, and applications of DSP algorithms.

Prerequisite Rule

Students must pass 1 unit from ENS3341, ENS3553

Equivalent Rule

Unit was previously coded ENS3251

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply digital processing techniques in practical problem-solving.
  2. Apply digital processing techniques in the analysis of signals and systems.
  3. Design digital filters for extracting and modifying signals.
  4. Implement a variety of digital signal processing algorithms.
  5. Represent analog signals in their digital formats.

Unit Content

  1. Correlation and its applications.
  2. Digital filter design methods.
  3. Digital processing of continuous-time signals.
  4. Discrete transforms (DFT, FFT, etc) and their applications.
  5. Overview of discrete-time signals and systems.
  6. Spectrum analysis and estimation.
  7. Z-transform and its applications.

Additional Learning Experience Information

Lectures, tutorials and laboratory activities.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
TestMid-semester test20%
AssignmentTheory assignment10%
Examination ^End of semester examination70%

^ Mandatory to Pass

Text References

  • ^ McClellan, J. H., Schafer R. W. & Yoder, M. A. (2003). Signal processing first. New Jersey: Prentice-Hall.
  • Tan, L., & Jiang, J. (2013). Digital signal processing: fundamentals and applications (2nd ed.). Oxford, UK: Elsevier.
  • Blanfod, D., & Parr, J. (2013). Introduction to digital signal processing. New Jersey: Prentice-Hall.
  • Oppenheim, A.V. & Schafer, R. W. (2010). Discrete-time signal processing (3rd ed.). New Jersey: Prentice-Hall.
  • Lyons, R. G. (2011). Understanding digital signal processing (3rd ed.). New Jersey: Prentice-Hall.
  • Proakis, J. G. & Manolakis, D. K. (2007). Digital signal processing (4th ed.). New Jersey: Prentice-Hall.

Journal References

  • Digital Signal Processing: A Review Journal, Boston: Academic Press
  • IEEE Signal Processing Magazine, New York: IEEE Signal Processing Society
  • IEEE Transactions on Signal Processing, New York: IEEE Signal Processing Society
  • IEEE Transactions on Circuits and Systems: II Analog and Digital Signal Processing, New York: IEEE Circuit and Systems Society
  • Signal Processing: An International Journal, Amsterdam: North Holland

^ Mandatory reference


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

ENS3552|2|1

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Digital Signal Processing
  • Unit Code

    ENS3552
  • Year

    2016
  • Enrolment Period

    2
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus

Description

This unit introduces the basic concepts and algorithms in digital signal processing, including convolution and correlation, matched filtering, z-transform, discrete Fourier transform, FFT algorithms, digital FIR and IIR filter design, spectrum analysis and estimation, and applications of DSP algorithms.

Prerequisite Rule

Students must pass 1 unit from ENS3341, ENS3553

Equivalent Rule

Unit was previously coded ENS3251

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply digital processing techniques in practical problem-solving.
  2. Apply digital processing techniques in the analysis of signals and systems.
  3. Design digital filters for extracting and modifying signals.
  4. Implement a variety of digital signal processing algorithms.
  5. Represent analog signals in their digital formats.

Unit Content

  1. Correlation and its applications.
  2. Digital filter design methods.
  3. Digital processing of continuous-time signals.
  4. Discrete transforms (DFT, FFT, etc) and their applications.
  5. Overview of discrete-time signals and systems.
  6. Spectrum analysis and estimation.
  7. Z-transform and its applications.

Additional Learning Experience Information

Lectures, tutorials and laboratory activities.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
TestMid-semester test20%
AssignmentTheory assignment10%
Examination ^End of semester examination70%

^ Mandatory to Pass

Text References

  • ^ McClellan, J. H., Schafer R. W. & Yoder, M. A. (2003). Signal processing first. New Jersey: Prentice-Hall.
  • Blanfod, D., & Parr, J. (2013). Introduction to digital signal processing. New Jersey: Prentice-Hall.
  • Proakis, J. G. & Manolakis, D. K. (2007). Digital signal processing (4th ed.). New Jersey: Prentice-Hall.
  • Lyons, R. G. (2011). Understanding digital signal processing (3rd ed.). New Jersey: Prentice-Hall.
  • Oppenheim, A.V. & Schafer, R. W. (2010). Discrete-time signal processing (3rd ed.). New Jersey: Prentice-Hall.
  • Tan, L., & Jiang, J. (2013). Digital signal processing: fundamentals and applications (2nd ed.). Oxford, UK: Elsevier.

Journal References

  • Signal Processing: An International Journal, Amsterdam: North Holland
  • IEEE Transactions on Signal Processing, New York: IEEE Signal Processing Society
  • IEEE Signal Processing Magazine, New York: IEEE Signal Processing Society
  • IEEE Transactions on Circuits and Systems: II Analog and Digital Signal Processing, New York: IEEE Circuit and Systems Society
  • Digital Signal Processing: A Review Journal, Boston: Academic Press

^ Mandatory reference


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

ENS3552|2|2