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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.
Topics covered in this course include:• Communication engineering and signal processing;• Convolution and correlation;• Fourier series and transform;• Amplitude modulation;• Angle modulation;• Analogue filters;• 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 end of this course, the student will be able to:Describe the fundamentals of signal processing in time and frequency domains;Describe the difference between analogue and digital signal processing.Explain different types of analogue and digital filters and be able to design the filters. Apply the signal processing techniques to communications engineering systems and other areas in engineering.Perform modulation and demodulation for amplitude, phase and frequency modulation.Describe the theory behind transmission and reception of information using a carrier waveform.Demonstrate competence using the basic tools in statistics for signal processing.
Students must attend one activity from each section.
Analog and Digital Signal Processing;
Brooks/Cole, Pacific Grove, CA, 1999.
James McClellan, Ronald Schafer, Mark Yoder;
Signal Processing First;
Pearson Prentice Hall, 2003.
Lathi BP, Ding Z;
Modern Digital and Analog Communication Systems;
Oxford University Press, 2019.
Domestic fee $975.00
International fee $5,500.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Electrical and Computer Engineering.