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## Project assignmentAll the tasks below should be applied to the following dataset. The project should be reported in a concise but high
standard The report should be returned by the ## 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.
## SegmentationSegment the data in portions having:- alpha
- beta
- delta
## Modelling and time-series predictionModel 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-61.6010/s04/local/project.shtml jaakko.sarela@hut.fi Thursday, 02-Dec-2004 16:30:34 EET |