ENEL420-24S2 (C) Semester Two 2024

Advanced Signals

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

An advanced course on methods for digitally processing signals. Practical methods of designing digital signal filters, especially those with finite impulse response, including implementation on devices with finite precision. Statistical signal processing and estimation. Multidimensional signals and signal processing. The multidimensional Fourier transform and applications. Time-frequency analysis and the wavelet transform.

Topics covered include:
• A thorough appraisal of aliasing, including bandpass sampling.
• Practical methods of designing digital filters, especially those with finite impulse response.
• Implementation of filters on devices with finite precision.  
• Multi-rate signal processing: the manipulation of sampling rates and filters for faster DSP.  
• Two-dimensional spectra and the 2D Fourier transform.  
• Applications of the 2D Fourier transform to image processing.  
• Statistical processing of signals.

Learning Outcomes

At the end of this course, the student will:

1. Understand sampling and aliasing in both the signal and frequency domains
2. Be able to design FIR filters using various methods
3. Understand the effects of finite precision on digital filters
4. Be able to apply multi-rate methods for efficient DSP
5. Understand two-dimensional spectra and the 2D Fourier transform
6. Be able to apply the 2D Fourier transform to problems in image processing
7. Understand and apply the 1D wavelet transform
8. Understand and apply statistical methods to signal processing

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Prerequisites

Restrictions

ENEL440

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 Meremere 526
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 15:00 - 16:00 Meremere 526
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture C
Activity Day Time Location Weeks
01 Thursday 08:00 - 09:00 Meremere 526
15 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator

Le Yang

Lecturer

Richard Clare

Assessment

Assessment Due Date Percentage 
Assignment One 15%
Assignment Two 30%
Final Exam 55%

Indicative Fees

Domestic fee $1,197.00

International fee $6,000.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Electrical and Computer Engineering .

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