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  2. Signals and Systems [ENS6160]

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

    Signals and Systems

  • Unit Code

    ENS6160

  • Year

    2015

  • Enrolment Period

    1

  • Version

    1

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus

Description

This unit introduces the basic concepts of signal and system analysis including continuous-time signals and systems, convolution, the Laplace transform, frequency analysis with the Fourier series and Fourier transform and an introduction to discrete-time signals and systems. Students will be exposed to applications drawn broadly from electronic, communication, control and mechanical systems.

Equivalent Rule

Unit was previously coded ENS5341

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply frequency-domain concepts and methods of analysis including the Laplace and Fourier transforms.
  2. Apply time-domain concepts and methods of analysis including impulse response and the convolution integral.
  3. Demonstrate awareness of signal and system analysis in real-world engineering applications.
  4. Demonstrate knowledge of signals and how they can be represented and modelled mathematically for system analysis.
  5. Demonstrate knowledge of the issues related to discrete-time signals and systems including sampling period, aliasing and quantisation.
  6. Formulate and apply system analysis methods using state variable analysis.
  7. Formulate the Fourier transform for application on sampled signals.

Unit Content

  1. Applications to real-world engineering systems.
  2. Continuous-time systems (linearity, time invariance, causality, stability).
  3. Fourier series analysis of periodic signals.
  4. Fourier transform of sampled signals.
  5. Introduction to discrete-time signals and systems.
  6. Representation and mathematical modelling of signals.
  7. System analysis using state variables.
  8. The Fourier transform.
  9. The Laplace transform and the s-domain.

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 test 15%
AssignmentProblem sets20%
Laboratory Work ^Laboratory work and reports15%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • Chaparro, L. F. (2011). Signals and systems using Matlab. Oxford, England: Academic Press.
  • Haykin, S., & Veen, B. V. (2005). Signals and systems (2nd ed.). New York, NY: John Wiley & Sons.
  • Ulaby, F. & Yagle, A. (2012). Engineering signals and systems. Allendale, Australia: National Technology and Science Press.
  • Lathi, B. P. (2005). Linear systems and signals (2nd ed.). Oxford, England: Oxford University Press.
  • Tervo, R. J. (2013). Practical signals theory with Matlab applications. New York, NY: John Wiley & Sons.
  • Karris, S. T. (2012). Signals and systems with Matlab computing and Simulink modeling (5th ed.). Fremont, CA: Orchard Publications.

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.

ENS6160|1|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

    Signals and Systems

  • Unit Code

    ENS6160

  • Year

    2015

  • Enrolment Period

    2

  • Version

    1

  • Credit Points

    15

  • Full Year Unit

     N

  • Mode of Delivery

    On Campus

Description

This unit introduces the basic concepts of signal and system analysis including continuous-time signals and systems, convolution, the Laplace transform, frequency analysis with the Fourier series and Fourier transform and an introduction to discrete-time signals and systems. Students will be exposed to applications drawn broadly from electronic, communication, control and mechanical systems.

Equivalent Rule

Unit was previously coded ENS5341

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply frequency-domain concepts and methods of analysis including the Laplace and Fourier transforms.
  2. Apply time-domain concepts and methods of analysis including impulse response and the convolution integral.
  3. Demonstrate awareness of signal and system analysis in real-world engineering applications.
  4. Demonstrate knowledge of signals and how they can be represented and modelled mathematically for system analysis.
  5. Demonstrate knowledge of the issues related to discrete-time signals and systems including sampling period, aliasing and quantisation.
  6. Formulate and apply system analysis methods using state variable analysis.
  7. Formulate the Fourier transform for application on sampled signals.

Unit Content

  1. Representation and mathematical modelling of signals.
  2. Continuous-time systems (linearity, time invariance, causality, stability).
  3. The Laplace transform and the s-domain.
  4. Fourier series analysis of periodic signals.
  5. The Fourier transform.
  6. Introduction to discrete-time signals and systems.
  7. Applications to real-world engineering systems.
  8. System analysis using state variables.
  9. Fourier transform of sampled signals.

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 test 15%
AssignmentProblem sets20%
Laboratory Work ^Laboratory work and reports15%
Examination ^End of semester examination50%

^ Mandatory to Pass

Text References

  • Chaparro, L. F. (2011). Signals and systems using Matlab. Oxford, England: Academic Press.
  • Haykin, S., & Veen, B. V. (2005). Signals and systems (2nd ed.). New York, NY: John Wiley & Sons.
  • Ulaby, F. & Yagle, A. (2012). Engineering signals and systems. Allendale, Australia: National Technology and Science Press.
  • Karris, S. T. (2012). Signals and systems with Matlab computing and Simulink modeling (5th ed.). Fremont, CA: Orchard Publications.
  • Tervo, R. J. (2013). Practical signals theory with Matlab applications. New York, NY: John Wiley & Sons.
  • ^ Lathi, B. P. (2009). Linear systems and signals (2nd revised ed.). Oxford, England: Oxford University 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.

ENS6160|1|2