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Communication engineering and signal processing. Convolution, correlation, Fourier series and transform, amplitude modulation, angle modulation, analogue filters, random processes, noise in modulated systems, discrete signal processing, digital transmission (PCM, TDM and FDM), DTFT/DFT and FIR/IIR filter design.
Signal processing converts data into information. It is an essential component of many things we use/need/want in our daily lives. For example, computers, cell phones, internet, power grid, medical devices etc. Communications spreads that information. 5G, and beyond, communication standards need to be reliable enough for everything from medical applications, vehicle control and sensing, to smart-grid and home automation applications. This requires sophisticated, but computationally efficient signal processing techniques.In this course, we will show students the fundamentals of both signal processing and communications.Topics covered include:• Communication engineering and signal processing;• Convolution and correlation• Fourier series and transform;• Amplitude modulation;• Angle modulation;• Discrete signals and systems;• Random processes;• Generating digital signals (sampling and quantisation);• Fourier transform for discrete signals (DTFT/DFT);• Digital filter (FIR and IIR) design;• Image processing.
At the conclusion of this course you should be able to:LO1: Describe and apply appropriate theories and mathematical techniques for use in analogue and digital signal processing (WA1, WA2)LO2: Differentiate types of analogue and digital filters, and apply these filters in signal processing applications (WA2, WA3, WA4)LO3: Process analogue and digital signals using contemporary mathematical techniques and tools for communication and other systems. (WA3, WA4, WA5)LO4: Work collaboratively in a team environment (WA9)
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.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
ENEL220, EMTH210, ENEL321 and EMTH211
ENEL332, ENEL351
Students must attend one activity from each section.
Joe Chen
Philippa Martin
B. P. Lathi and Zhi Ding; Modern Digital and Analog Communication Systems ; 5th; Oxford University Press, 2019.
Course Outline
Contact HoursLectures: 36Tutorials: 12Workshops:0Laboratories:0 Independent studyReview of lectures: 30Test and exam preparation: 30Assignments: 18Tutorial preparation: 24 Laboratory calculations: 0Total 150
Domestic fee $1,059.00
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 .