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■ Complexity is very useful for a quantitative analysis of various time series data. It is applicable to biological signals such as EEG, ECG, EMG, EGG, blood flow, time series in geology, mechanical vibrations, electromagnetic signals, epidemiological signals and so on. It supplies powerful tools more than 120 kinds such as chaos analysis, wavelet analysis, principal component analysis, statistical analysis, spatial pattern analysis, identification & prediction, spectral analysis, correlation analysis, high order spectral analysis, various filtering, cross spectral analysis, moving window analysis and so on.
1. Powerful and fruitful analysis
It supplies about 120 kinds of useful and advanced analysis such as correlation analysis, spectrum analysis, various filtering, statistical analysis, wavelet analysis, principal component analysis, chaos analysis, identification analysis and so on. Specially, notice that you can make the extensive another analyses of about 120 factorial types by a various combination of the supplied analyses. Even a beginner can easily make an analysis by the automatic setting of environmental parameters required for analysis.
2. Brilliant graph editing
3. Useful reporting
4. Convenient integrated workspace
5. Flexible and robust database
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