Results 261 to 270 of about 304,219 (298)

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
R. Abdelfattah, J.-M. Nicolas
openaire   +1 more source

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.
D. Youn, N. Ahmed, G. Carter
openaire   +1 more source

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, Wang, Z, Xie, D M, Xie, X, Zhong, Y, Liu, H, Li   +5 more
openaire   +2 more sources

Magnitude squared coherence for a unichannel pure tone

The Journal of the Acoustical Society of America, 1980
The 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.
openaire   +1 more source

A new coherence estimating method: The magnitude squared coherence of smoothing minimum variance distortionless response

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, Juan Wang, Zhaohui Li, Xiaoli Li   +3 more
openaire   +1 more source

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

Measuring the organization of cardiac rhythms using the magnitude-squared coherence function

IEEE Engineering in Medicine and Biology Magazine, 1990
The 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, K M, Ropella, J M, Baerman, S, Swiryn   +3 more
openaire   +2 more sources

The New Magnitude-Squared Coherence Functions and Their Properties Sensitive to Phase

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
Based 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, X, Zhong, D M, Xie, H, Ma, Y, Liu, H, Li, Z F, Wang   +6 more
openaire   +2 more sources

Classification of imaginary movements using the magnitude-squared coherence feature extractor

2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 2012
This study investigates the use of the Magnitude — Squared Coherence (MSC) to extract features from three events: spontaneous electroencephalogram (EEG), EEG-based motor task, and EEG-based motor imagination. We extracted such characteristics by using the Delta band (0.1–2 Hz), Alpha band (8–13 Hz) and Beta band (14–30 Hz).
Ana P. Souza, Sady A. Santos Filho, Leonardo B. Felix, Carlos A. Maia, Carlos J. Tierra-Criollo   +4 more
openaire   +1 more source