Abstract
Coherence parameters such as the squared coherence spectrum, the cross-spectral coherence spectrum and the bicoherence spectrum describe phase stability or phase covariations within one or between two stochastic processes. A hybrid of these parameters, denoted the bivariate squared coherence spectrum, is introduced in this paper. Several features of the parameter are discussed. This includes definition, estimator and statistical properties related to narrowbanded coherent processes contaminated by additive white noise. Possible applications of the bivariate squared coherence spectrum are discussed. A numerical example for identification of dynamic properties of scattering particles is also addressed to exemplify the use of this parameter. The signals involved are synthetically generated from a scattering model where the incoherent contribution is multiplicative.
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