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Interpretation of the Coherence Function When Using Pseudorandom Inputs to Identify Nonlinear Systems

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1 Author(s)
Maki, Brian E. ; West Park Research, University of Toronto

Use of certain types of pseudorandom input stimuli to identify linear transfer function models of biological or physiological systems can lead to bias errors if the system is nonlinear. Moreover, use of the coherence function to assess the linearity of the system may yield misleading results. Results from a computer simulation are presented, along with example experimental data.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:BME-33 ,  Issue: 8 )

Date of Publication:

Aug. 1986

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