Results 221 to 230 of about 51,517 (253)

Analysis of Auditory Evoked Potentials by Magnitude-Squared Coherence

Ear and Hearing, 1989
Evoked potentials are usually analyzed in the time domain (voltage versus time). The most familiar frequency-domain measure, the power spectral density function, displays power as a function of frequency but doesn't distinguish signal power from noise power.
R A, Dobie, M J, Wilson
openaire   +2 more sources

The New Magnitude Coherence Functions and Their Properties Sensitive to Phase

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Because magnitude-squared coherence function (MSCFs) could lose some phase information, based on the core theorem for the frequency domain coherence in signal processing, called as double spectral theorem, we present the two types of new magnitude coherence functions (MCFs) in order to extract the coherence between two signals and give the conditions ...
Z X Xie
exaly   +3 more sources

Objective detection of 40 Hz auditory evoked potentials: phase coherence vs. magnitude-squared coherence

Electroencephalography and Clinical Neurophysiology - Evoked Potentials, 1994
The relative performance of phase coherence (PC) and magnitude-squared coherence (MSC) for detection of steady-state evoked potentials was studied using 40 Hz auditory evoked potentials (AEPs) in 10 normal human subjects. In addition, simulation experiments were carried out to determine the effects of signal amplitude and phase variability on detection
Robert A Dobie
exaly   +3 more sources

Maximum likelihood estimation of magnitude-squared coherence

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
A maximum-likelihood estimator (MLE) for coherence is derived. The MLE should be unbiased, and there should be no unbiased estimator with smaller variance. An approximation to the MLE, valid for coherence estimates with a large number of degrees of freedom (DOF), is also derived. The two MLE algorithms and two estimators discussed in earlier literature
openaire   +1 more source

Interferometric SAR coherence magnitude estimation using second kind statistics

IEEE Transactions on Geoscience and Remote Sensing, 2006
Coherence magnitude is a fundamental parameter for the analysis of applications using interferometric synthetic aperture radar (InSAR). The coherence magnitude estimators are biased and need bias removal. The sample coherence magnitude estimation, computed on a window basis, depends on the number of independent samples and theoretical coherence. It has
Riadh Abdelfattah, J -M Nicolas
exaly   +2 more sources

Estimation of magnitude-squared coherence function: An adaptive approach

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
This paper concerns an adaptive approach for estimateing the magnitude-squared coherence (MSC) function via Widrow's least-mean-square (LMS) algorithm. Some theoretical aspects are addressed, and simulation results are presented to evaluate the performance of the adaptive approach.
Dae Hee Youn, Nasir Ahmed 0001, G. Clifford Carter   +2 more
openaire   +1 more source

Analysis of Intramuscular Coherence of Lower Limb Muscle Activities Using Magnitude Squared Coherence

2022
N Sivakumaran
exaly   +2 more sources

The magnitude squared coherence estimate: A geometric view

ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The magnitude squared coherence estimate is often used as a means for detecting the presence of a common signal on two different channels. The value of this detection statistic is enhanced by understanding its behavior when a common signal is not present on both channels and the channel sequences are statistically independent.
openaire   +1 more source

Efficient implementation of the IAA-based Magnitude Squared Coherence estimator

2011 17th International Conference on Digital Signal Processing (DSP), 2011
Recently, a novel Magnitude Squared Coherence (MSC) estimator was proposed using the Iterative Adaptive Approach (IAA) algorithm. In this paper, we present a computationally efficient implementation of this estimator, exploiting the inherently low displacement rank of the necessary products of Toeplitz-like matrices, thereby allowing for the ...
Kostas Angelopoulos, George-Othon Glentis, Andreas Jakobsson   +2 more
openaire   +1 more source

Approximation of statistical distribution of magnitude squared coherence estimated with segment overlapping

Signal Processing, 2007
This paper suggests an approximation to the statistical distribution of a magnitude squared coherence (MSC) function estimated with segment overlapping. So far, the statistical distribution is known for an MSC computed without segment overlapping only.
Radoslav Bortel, Pavel Sovka
exaly   +2 more sources