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

1 August 1986

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering

Vol. BME-33 (8) , 775-779
https://doi.org/10.1109/tbme.1986.325901

Abstract

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.

Keywords

NONLINEAR SYSTEMS
TRANSFER FUNCTIONS
COHERENCE
NOISE MEASUREMENT
BIOMEDICAL MEASUREMENTS
BIOLOGICAL SYSTEM MODELING
PREDICTIVE MODELS
FREQUENCY
TESTING
TRANSDUCERS

This publication has 3 references indexed in Scilit:

Analysis of Physiological Systems
Published by Springer Nature ,1978
Identification of biological systems: a survey
Automatica, 1978
Effective measurements using digital signal analysis
IEEE Spectrum, 1971