Results 211 to 220 of about 51,517 (253)

Listening to a Consonant Chord Progression during Live Face-to-Face Gaze Enhances Neural Activity in Social Systems. [PDF]

J Neurosci
Watts DA, Allsop AS, Compton S, Zhang X, Noah JA, Hirsch J.   +5 more
europepmc   +1 more source

Slow wave electroencephalogram spectral properties during adaptation of a new light dark cycle in cynomolgus monkeys. [PDF]

Sleep Adv
Jiang R, Low J, Vitaterna MH, Fitzpatrick K, Weber DJ, Griffin DM.   +5 more
europepmc   +1 more source

Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data

Silveira I, Silva L, Furk D, Marques B, Ao N, Hoogteijling S, Heijink I, Zijlmans M, Gamboa H.   +8 more
europepmc   +1 more source

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Exact Confidence Interval for Magnitude-Squared Coherence Estimates

IEEE Signal Processing Letters, 2004
The magnitude-squared coherence function is widely used in many applications. The approximate confidence interval is only reliable for large data segments. In this letter, an iterative algorithm is provided to compute the exact confidence interval from the cumulative distribution function.
Meng-Xing Tang, Shouyan Wang
exaly   +3 more sources

A parametric method for computing magnitude squared coherence

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The magnitude squared coherence (MSC) is widely used as a measure of the similarity between a pair of signals. It is normally defined as the squared magnitude of the two signals' cross-spectrum divided by the product of their autospectra. Many methods exist for computing the MSC.
Otis M. Soloman, James A. Cadzow, Samuel D. Stearns   +2 more
openaire   +1 more source

Confidence bounds for magnitude-squared coherence estimates

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
In underwater acoustics where signals are digitally processed at the outputs of two or more receiving sensors, it is desirable to estimate the coherence spectrum, both for detection and position estimation. A processing technique for computing arbitrary confidence bounds for stationary Gaussian signals is presented.
Everett H. Scannell Jr., G. Clifford Carter   +1 more
openaire   +1 more source

Bias of the estimate of magnitude-squared coherence

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
A simple accurate approximation for the bias of the estimate of magnitude-squared coherence (MSC) is derived from exact theoretical expressions. Simulation results corroborate the exact and approximate expressions, all of which differ from a previously published simulation result on this topic.
A Nuttall
exaly   +2 more sources

Measures of generalized magnitude-squared coherence: Differences and similarities

Journal of the Franklin Institute, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sheida Malekpour, John A. Gubner, William A. Sethares   +2 more
openaire   +1 more source

Coherency strain fields: magnitude and symmetry

Journal of Microscopy, 1983
SummaryThis paper considers the various methods available for the measurement of small values of in‐situ lattice misfit between a coherent particle and the matrix. Examination of such misfits by Asby‐Brown contrast imaging, moiré fringe measurements, lattice fringe imaging and convergent beam electron diffraction (C.B.E.D.) is considered, and the ...
A. J. Porter, R. C. Ecob, R. A. Ricks
openaire   +1 more source