The distribution of the M-channel generalized coherence estimate is shown not to depend on the statistical behavior of the data on one channel provided that the other M \Gamma 1 channels contain only white gaussian noise and all channels are independent. This confirms a recently published conjecture and extends the utility of the GC estimate as a detection statistic to include active as well as passive scenarios. I. Introduction The ability to determine whether a common signal is present on two or more noisy channels is desirable for a variety of applications, particularly in situations where an unknown signal source is to be detected and localized from measurements made at several sensors. In the case of two channels, a commonly used meth...
A periodic signal can be perfectly predicted far into the future since it perfectly repeats every pe...
This paper considers noncoherent communication over a frequency nonselective channel in which the ti...
In this paper, we consider a two-channel multiple-input multiple-output passive detection problem, i...
The distribution of the M-channel generalized coherence estimate is shown not to depend on the stati...
In this paper we investigate the invariance of the null distribution of the multiple coherence (MC) ...
International audienceThe adaptive coherence estimator (ACE) is known to be the generalized likeliho...
abstract: The problem of detecting the presence of a known signal in multiple channels of additive w...
This paper deals with the coherence function in order to study relations between channels, in the co...
Detecting the presence of one or multiple signals with unknown spatial signature can be addressed by...
abstract: Multiple-channel detection is considered in the context of a sensor network where data can...
Abstract: The coherence function provides a measure of spectral similarity of two signals, but measu...
We consider the problem of detecting a signal of interest in the presence of compound-Gaussian clutt...
<p>Results for different source configurations (illustrated by the insets) are shown in the correspo...
Coherence analysis characterizes frequency-dependent covariance between signals, and is useful for m...
<p>The most left graphs (A,E,I) depict the coherence spectra within the 15–35 Hz frequency range for...
A periodic signal can be perfectly predicted far into the future since it perfectly repeats every pe...
This paper considers noncoherent communication over a frequency nonselective channel in which the ti...
In this paper, we consider a two-channel multiple-input multiple-output passive detection problem, i...
The distribution of the M-channel generalized coherence estimate is shown not to depend on the stati...
In this paper we investigate the invariance of the null distribution of the multiple coherence (MC) ...
International audienceThe adaptive coherence estimator (ACE) is known to be the generalized likeliho...
abstract: The problem of detecting the presence of a known signal in multiple channels of additive w...
This paper deals with the coherence function in order to study relations between channels, in the co...
Detecting the presence of one or multiple signals with unknown spatial signature can be addressed by...
abstract: Multiple-channel detection is considered in the context of a sensor network where data can...
Abstract: The coherence function provides a measure of spectral similarity of two signals, but measu...
We consider the problem of detecting a signal of interest in the presence of compound-Gaussian clutt...
<p>Results for different source configurations (illustrated by the insets) are shown in the correspo...
Coherence analysis characterizes frequency-dependent covariance between signals, and is useful for m...
<p>The most left graphs (A,E,I) depict the coherence spectra within the 15–35 Hz frequency range for...
A periodic signal can be perfectly predicted far into the future since it perfectly repeats every pe...
This paper considers noncoherent communication over a frequency nonselective channel in which the ti...
In this paper, we consider a two-channel multiple-input multiple-output passive detection problem, i...