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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:
  • alpha
  • beta
  • delta
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.


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Thursday, 02-Dec-2004 16:30:34 EET