2022/23 Undergraduate Module Catalogue
SOEE2190 Time Series Analysis and Digital Signal Processing
10 creditsClass Size: 35
Module manager: Prof Jurgen Neuberg
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2022/23
Pre-requisite qualificationsOne year of University mathematics for science, Fourier Series and Complex Numbers.
This module is not approved as a discovery module
ObjectivesTo provide the mathematical foundation for spectral analysis and filter theory as applied to the analysis of seismic and potential field data in applied and pure geophysics.
At the end of this module students will be able to
-use digital filters in time and frequency domain,
-apply convolution and deconvolution to time series,
-understand the consequences of the digitisation process,
-plan and carry out a digital data acquisition process,
-analyse time and spatial data series.
The Fourier series, discrete Fourier transform and convolution theorem as applied to spectral analysis and filtering of geophysical data. Sampling theorem, aliasing and the Nyquist frequency. Bandpass filtering of seismograms. Autocorrelation and cross correlation. The z-transform deconvolution, 2D Fourier transforms and f-k filtering.
|Delivery type||Number||Length hours||Student hours|
|Private study hours||70.00|
|Total Contact hours||30.00|
|Total hours (100hr per 10 credits)||100.00|
Private studyLecture reading at 3 hours per lecture (48 hours)
7 computer exercises (14 hours)
8 problem sheets on VLE (8 hours)
Opportunities for Formative FeedbackContinuous in class assessment
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|In-course Assessment||Continuous assessment through online exercises||40.00|
|Report||5 weekly practicals, submitted at the end of semester||60.00|
|Total percentage (Assessment Coursework)||100.00|
Re-sit is by examination only.
Reading listThe reading list is available from the Library website
Last updated: 26/05/2022 14:15:14
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