Certain deterministic nonlinear systems may show chaotic behavior. We consider the notion of qualitative information and the practicalities of extracting a part from chaotic experimental data. Our approach draws on ideas from the generalized theory of information known as singular system analysis. We illustrate this technique with numerical data from the chaotic experimental data.
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