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20152025
most citedEfficient Coherence Inference Using the Demodulated Band Transform and a Generalized Linear Model

2 citations · 2 across the 1 of their papers we have counts for

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5 papers

eess.SP2025★ 2 cited

Efficient Coherence Inference Using the Demodulated Band Transform and a Generalized Linear Model

Md Rakibul Mowla, Sukhbinder Kumar, Ariane E. Rhone +2

Statistical significance testing of neural coherence is essential for distinguishing genuine cross-signal coupling from spurious correlations. A widely accepted approach uses surro…

eess.SP2019

Decomposition of Higher-Order Spectra for Blind Multiple-Input Deconvolution, Pattern Identification and Separation

Christopher K. Kovach, Matthew A. Howard

Like the ordinary power spectrum, higher-order spectra (HOS) describe signal properties that are invariant under translations in time. Unlike the power spectrum, HOS retain phase i…

stat.ME2017

The Bispectrum and Its Relationship to Phase-Amplitude Coupling

Christopher K. Kovach, Hiroyuki Oya, Hiroto Kawasaki

Most biological signals are non-Gaussian, reflecting their origins in highly nonlinear physiological systems. A versatile set of techniques for studying non-Gaussian signals relies…

q-bio.NC2017

A Biased Look at Phase Locking: Brief Critical Review and Proposed Remedy

Christopher K. Kovach

A number of popular measures of dependence between pairs of band-limited signals rely on analytic phase. A common misconception is that the dependence revealed by these measures mu…

q-bio.QM2015

The demodulated band transform

Christopher K. Kovach, Phillip E. Gander

Background: Windowed Fourier decompositions (WFD) are widely used in measuring stationary and non-stationary spectral phenomena and in describing pairwise relationships among multi…