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Double Spectral theorem and Two Type Magnitude Coherence Functions
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Studying frequency domain representation for the coherence between two signals is an important basic theoretical problem in the fundamental theories of signal processing. However, magnitude-squared coherence function (MSCFs) could lose some phase information.
Y, Liu +5 more
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The New Magnitude-Squared Coherence Functions and Their Properties Sensitive to Phase
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Based on the core theorem of the frequency domain coherence in signal processing, called as double spectral theorem, we presented the two types of new magnitude-squared coherence function (MSCFs) in order to extract the coherence between two signals and gave the conditions that they are equal to 1 or 0.
Z, Xie +6 more
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2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016
The magnitude squared coherence (MSC) is an important method to calculate the connectivity between neural signals. It provides a better spectral resolution than the Welch's method and is often used in analyzing electroencephalograph (EEG) synchronization activity. The minimum variance distortionless response (MVDR) is a spectral estimation method based
Dong Cui
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The magnitude squared coherence (MSC) is an important method to calculate the connectivity between neural signals. It provides a better spectral resolution than the Welch's method and is often used in analyzing electroencephalograph (EEG) synchronization activity. The minimum variance distortionless response (MVDR) is a spectral estimation method based
Dong Cui
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Estimation of time-varying magnitude squared coherence functions
Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat. No.97TH8237), 2002A new method for computing an estimate of the time-varying magnitude squared coherence (MSC) between two data sequences is presented. The method estimates the time-varying MSC function by using a modulator and a lowpass filter and is compared with a method using a bandpass filter and the Hilbert transform through computer simulation.
null Do-Nyeon Kim +2 more
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Magnitude squared coherence for a unichannel pure tone
The Journal of the Acoustical Society of America, 1980The probability density function of the magnitude squared coherence estimator is determined for the case of a pure tone in one channel and Gaussian noise in the other channel. It is found to be the same probability density function as for the case of Gaussian noise in both channels.
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Double Spectral theorem and Two Type Magnitude-Squared Coherence Functions
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005Studying frequency domain representation for the coherence between two signals is an important basic theoretical problem in the fundamental theories of signal processing. However, the old magnitude-squared coherence function (OMSCF) has been proved identical to 1, so that to cannot be used to extract any coherence information.
Z X Xie
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Measuring the organization of cardiac rhythms using the magnitude-squared coherence function
IEEE Engineering in Medicine and Biology Magazine, 1990The application of the magnitude-squared coherence (MSC) spectrum as a measure of the degree of organization of the cardiac electrical activity is explored. The MSC spectrum is a frequency-domain measure of the linear relationship between two signals. In the work described the two signals are two bipolar electrograms from either acutely placed catheter(
A V, Sahakian +3 more
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Estimation of SAR Coherence Magnitude from Small Samples
IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing SymposiumNico Adam
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Group delay based magnitude square coherence estimation by an ARMA model
Signal Processing, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. V. Narasimhan +3 more
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Probability of detection of residual echo based on magnitude-squared coherence estimate
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002Residual echo is a distorted, partially-canceled, and transient echo of the near-end speech signal returned from the remote network. Velardo and Wynn have shown that residual echo can be detected and reduced by using a nonlinear processing technique based on frequency coherence. In this paper a mathematical approach to evaluate this nonlinear processor
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