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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.
At the end of this course, the student will:1. Understand sampling and aliasing in both the signal and frequency domains2. Be able to design FIR filters using various methods3. Understand the effects of finite precision on digital filters4. Be able to apply multi-rate methods for efficient DSP5. Understand two-dimensional spectra and the 2D Fourier transform6. Be able to apply the 2D Fourier transform to problems in image processing7. Understand and apply the 1D wavelet transform8. Understand and apply statistical methods to signal processing
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.
ENEL320 OR ENMT301
Students must attend one activity from each section.
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