[PDF] Top 20 Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics
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Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics
... problem of detecting a target in Gaussian noise with unknown covariance ...matrix. In contrast to the usual assumption of deterministic target ampli- tudes, we ... Voir le document complet
12
Detection of an unknown rank-one component in white noise
... the detection of an unknown and arbitrary rank-one signal in a spatial sector scanned by a small number of ...problem of finding the maximal invariant for the ... Voir le document complet
5
Adaptive detection of a Gaussian signal in Gaussian noise
... Department of Electronics, Optronics and Signal 10 Avenue Edouard Belin, 31055 Toulouse France Abstract—Adaptive detection of a Swerling I-II type target in Gaussian noise ... Voir le document complet
5
Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test
... account for e.g. weak-amplitude signals, T wave overlaps and non-Gaussian noise ...distribution. In this paper, we develop several detectors using the generalized ... Voir le document complet
5
Adaptive detection using randomly reduced dimension generalized likelihood ratio test
... problem of detecting a signal of interest in the presence of Gaussian noise with un- known statistics when the number of training samples available to learn ... Voir le document complet
5
Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach
... Adaptive detection of distributed targets has been addressed in [1] and [2]; noise is modeled in terms of independent, com- plex normal random vectors with a common ... Voir le document complet
12
Josephson junctions as detectors for non-Gaussian noise
... out of the zero-voltage state provides a sensitive threshold detector because the switching rate varies exponentially with the bias ...periment in which a current-biased Josephson junction is ... Voir le document complet
16
Detection and Estimation of Abrupt Changes contaminated by Multiplicative Gaussian Noise
... hat in der Literatur grosse Beachtung ...CUSUM-Algorithmus. In vielen Anwendungsgebieten, wie ...sind in den meisten praktischen Anwendungen unbekannt und mu¨ssen gescha¨tzt ...Maximum ... Voir le document complet
12
Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change
... esis test based on the likelihood functions for double-talk versus a channel ...hypothesis test differs from the one pro- posed in [8], which involved the channel input ( ... Voir le document complet
12
Generalized gaussian bounds for discrete convolution powers
... function of ξ rather than just a trigonometric polynomial in ξ. In other words, we deal here with the class of sequences in ` 1 whose Fourier transform is a trigonometric ... Voir le document complet
35
Communication in the presence of additive gaussian noise
... The restriction on the location of the zeros of E(s)/F(s) will not be met in practical cases. The penalty for attempting this operation is that the noise power d[r] ... Voir le document complet
22
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime
... need for our study. Then, section III, the core of the paper, is devoted to the maximum likelihood estimation (MLE) of a parameter θ, observed via n samples through a possibly nonlinear ... Voir le document complet
6
On the detection of signals with unknown distributions and priors
... contrast with the simplicity of this model and even when the noise background is white and Gaussian, the decision can be ...Actually, in many applications, very little is known about ... Voir le document complet
32
Parameter estimation for multivariate generalized Gaussian distributions
... problem of estimating the parameters of multivariate generalized Gaussian distributions using the maximum likelihood ...method. For any shape param- eter , we have proved that ... Voir le document complet
13
A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood
... number of low intensity components are lost when using a data fidelity term derived from Poisson ...shape of low intensity components is not well reconstructed when using a WL2 data fidelity ...obtained ... Voir le document complet
22
Deconvolution with unknown noise distribution is possible for multivariate signals
... robustness of deconvolution estimators as pointed out in [Meister, 2004] where the author established that the mean integrated squared error of such an estimator can grow to infinity when the ... Voir le document complet
59
Coding along hermite polynomials for gaussian noise channels
... example of fading distribution for which the above conditions can be ...10 with probability half and let v = 1/4. Let µ = 5/4, then for any values of P , the maximizer of (24) is ... Voir le document complet
6
The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments
... distribution with . This seems to indicate that ACE is (close to) optimum for a large class of nonhomogeneous environments, at least it is rather ro- bust to covariance mismatches characterized by ... Voir le document complet
4
STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise
... To show that we can indeed use the opposite parallactic angles technique to estimate the residual noise level, we compare the empirical complementary CDF of the detection map in three di[r] ... Voir le document complet
16
Gaussian fluctuations for linear spectral statistics of large random covariance matrices
... ] in the late twenties, play an important role in applied ...] in 1967, the large dimensional setting (where the dimension of the observations is of the same order as the size of ... Voir le document complet
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