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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. Transforming signals with applications in 1D and 2D. Statistical processing of signals. Methods for multirate processing of signals.
Topics 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. • Statistical signal processing and estimation. • Multidimensional signals. • The 2D Fourier transform and applications to image processing and signal reconstruction. • Wavelet transforms.
At the end of this course, the student will:Understand sampling and aliasing in both the signal and frequency domainsBe able to design FIR filters using various methodsUnderstand the effects of finite precision on digital filtersUnderstand two-dimensional signals and spectra, and the 2D Fourier transformBe able to apply the 2D Fourier transform to problems in image processing and signal reconstruction.Understand and apply the 1D wavelet transformUnderstand and apply statistical methods to signal processing
ENEL320, ENMT301
ENEL440
Rick Millane
Le Yang
Ifeachor, Emmanuel C. , Jervis, Barrie W; Digital signal processing : a practical approach ; 2nd ed; Prentice Hall, 2002.
The pre-requisite for ENEL420 is either ENEL320 or ENMT301.
Domestic fee $1,080.00
International fee $5,250.00
* 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 .