A family of quasi-white random signals and its optimal use in biological system identification

Abstract

A new family of random test signals that can be used in biological system identification is introduced. These signals approximate the statistical properties of white noise. Their use in connection with the crosscorrelation technique provides several advantages over the quasi-white test signals that have been used so far. The most important advantages are their easy generation and their effective error analysis that allows the optimal determination of the test parameters.

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