COURSE CONTENT

This course introduces practical implementation of the latest research approaches to time series and spectral analysis. The course uses a systematic approach based on a signal modelling theme, while focusing on fast computational procedures that make the alternative higher performance analysis techniques feasible to implement in practical applications. Of special focus are the extensions of fast computational algorithms for high performance signal analysis techniques to multi-channel, multi-dimensional, and non-stationary instantaneous time-frequency analysis applications, where there is little published literature.

The first three days focuses on one-dimensional data sources. The following two days cover data from multi-channel and two-dimensional sources, and single channel data with highly non-stationary features. Application examples using telecom, sonar, radar, seismic, and biomedical data have been incorporated into the course. Emerging signal processing techniques in modern time series and spectral analysis, including bandwidth extrapolation methods, non-stationary signal time-frequency analysis, and multi-resolution (wavelet-based analysis) analysis, will be covered.

An extensive software toolbox (MATLAB and C) is provided students for all the algorithms and computational techniques introduced in the course. 

More information can be found in http://www.cei.se/011.htm