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  2. Digital Signal Processing [ENS5251]

Faculty of Health, Engineering and Science

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

    ENS5251

  • Year

    2015

  • 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 units from ENS5341

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. Extend digital signal processing algorithms to two-dimensional signals and systems.
  5. Implement a variety of digital signal processing algorithms.
  6. Represent analog signals in their digital formats.
  7. Research and apply new developments in the field of image processing.

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. Image analysis and coding.
  6. Overview of discrete-time signals and systems.
  7. Spectrum analysis and estimation.
  8. Z-transform and its applications.

Additional Learning Experience Information

Seminars and laboratories.

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%
ProjectPractical problem solving30%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • ^ Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2008). Digital image processing using MATLAB (2nd ed.). New Jersey: Prentice-Hall.
  • ^ McClellan, J. H., Schafer, R. W. & Yoder, M. A. (2003). Signal processing first (2nd ed.). New Jersey: Prentice-Hall.
  • Oppenheim A.V., & Schafer, R. (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.
  • 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.
  • Blandford, D., & Parr, J. (2013). Introduction to digital signal processing. New Jersey: Prentice-Hall.
  • Gonzalez, R. C., & Woods, R. E. (2008). Digital image processing (3rd ed.). New Jersey: Prentice-Hall.

Journal References

  • 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
  • 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.

ENS5251|2|1

Faculty of Health, Engineering and Science

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

    ENS5251

  • Year

    2015

  • 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 units from ENS5341

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. Extend digital signal processing algorithms to two-dimensional signals and systems.
  5. Implement a variety of digital signal processing algorithms.
  6. Represent analog signals in their digital formats.
  7. Research and apply new developments in the field of image processing.

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. Image analysis and coding.
  6. Overview of discrete-time signals and systems.
  7. Spectrum analysis and estimation.
  8. Z-transform and its applications.

Additional Learning Experience Information

Seminars and laboratories.

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%
ProjectPractical problem solving30%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • ^ Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2008). Digital image processing using MATLAB (2nd ed.). New Jersey: Prentice-Hall.
  • ^ McClellan, J. H., Schafer, R. W. & Yoder, M. A. (2003). Signal processing first (2nd ed.). New Jersey: Prentice-Hall.
  • Oppenheim A.V., & Schafer, R. (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.
  • 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.
  • Blandford, D., & Parr, J. (2013). Introduction to digital signal processing. New Jersey: Prentice-Hall.
  • Gonzalez, R. C., & Woods, R. E. (2008). Digital image processing (3rd ed.). New Jersey: Prentice-Hall.

Journal References

  • 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
  • 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.

ENS5251|2|2