Project assignment
Project assignment
All the tasks below should be applied to the following
dataset.
The project should be reported in a concise but high
standard research-like article.
The report should be returned by the 15th of January.
Characterisation of the frequency content
- Specify the frequency content of the data using
Fourier analysis.
- Filter out the 60 Hz power line and the base-line
wander.
- Extend the analysis into time-frequency representation
both in Fourier and Wavelet bases. Justify your choice of
Wavelet basis. Explain the reasons for the differences
between the two approaches.
Segmentation
Segment the data in portions having:
You may choose any segmentation method from the
book. Justify your choice.
Modelling and time-series prediction
Model the data using a suitable
linear auto-regressor (AR).
- Find a good balance between model complexity (the
number of time lags) and predictive power.
- Check for stationarity in the data by computing the
innovation process (i.e. the residual between the data
and the prediction of the model)
- Predict 10 next values for the data.

http://www.cis.hut.fi/Opinnot/T-61.181/s04/local/project.shtml
jaakko.sarela@hut.fi
Thursday, 02-Dec-2004 16:30:34 EET
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