Top PDF Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise
Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise
... our analysis of the detectors derived in [15] under the assumption of distributed noise ...performance in distributed noise only or Gaussian ...
6
Detecting Flutter Waves in the Electrocardiogram Using Generalized Likelihood Ratio Test
... overlaps and non-Gaussian noise distribution. In this paper, we develop several detectors using the generalized likelihood ratio test (GLRT) procedure ...variations ...
5
Detecting transient gravitational waves in non-Gaussian noise with partially redundant analysis methods
... use of all avail- able information (we neglect correlations between the classifier’s ranks; see Appendix A for multivariate treat- ment of the problem), it does offer some ...method and simply take ...
12
NORCAMA: Change analysis in SAR time series by likelihood ratio change matrix clustering
... a likelihood ratio test based method of change detection and classification for synthetic aperture radar (SAR) time series, namely NORmalized Cut on chAnge criterion MAtrix ...effect ...
34
Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach
... ONCLUSION In this paper, we have dealt with adaptive detection of dis- tributed targets embedded in colored noise modeled in terms of a compound-Gaussian process ...
12
One-step Generalized Likelihood Ratio Test for Subpixel Target Detection in Hyperspectral Imaging
... because of the huge number of spectral bands provided by a hyperspectral camera, these systems usually have poor spatial resolution compared with standard ...presence of many subpixel targets, where ...
12
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 the ...
5
Signal norm testing in additive and independant standard Gaussian noise
... crux in the aproach is the invariance of the noise probability ...to test regarding the signal thus in- volves the norm because the norm is readily the most straightforward maximal ...
38
Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics
... matrix and corresponds to the radar returns at different range cells under test (case of range spread target [1]) or at a given range cell over multiple coherent processing intervals ...
12
Conditional expected likelihood technique for compound Gaussian and Gaussian distributed noise mixtures
... e.g., in HF direction finding applica- tions, external noise is dominated by lightning strikes and being practically white for linear uniform arrays is strongly non- ...Also, in radar ...
11
Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change
... Performance of the GLRT-based EC for voice data over a real ...Number of transfers from the shadow filter to the main ...the test thresholds as a function of . For in- stance, the GLRT ...
12
The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments
... supported in part by the Délégation Générale pour l’Armement (DGA) and in part by Thales Systèmes ...review of this manuscript and approving it for publication was ...Bidon and ...
4
Likelihood Ratio Testing under Measurement Errors
... 2 of 9 discusses numerous inference procedure under semi-parametric set ...methods in EV models are considered in [ 7 , 8 ] and in references therein, and in [ 9 ], among ...
10
Uncertainty and sensitivity analysis of laboratory test simulations using an elastoplastic model
... use of mod- els based on the elastoplasticity theory to represent the complex behaviour of soils is always suitable as they represent a rational mechanical process (Pande & Pietruszczak ...one of ...
7
Sensitivity analysis of distributed erosion models - Application to four models
... Sensitivity analysis of distributed erosion models - Application to four models Bruno Cheviron (1,2), Yves Le Bissonnais (2), Jean-François Desprats (3), Alain Couturier (4), Silvio José ...
2
Likelihood-Related Estimation Methods and Non-Gaussian GARCH Processes
... matrix of L V,n directs the movement of the updated ...experiments In this section, we review and detail the results of the Monte Carlo experiments developed to test the three ...
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] ...
22
NORCAMA: Change Analysis in SAR Time Series by Likelihood Ratio Change Matrix Clustering
... and Gilabert, 2009) have also been used for analysis of the nor- malized difference vegetation index time ...series. In this paper, we address the problem of change classifica- tion ...
15
On the Maximum Likelihood Estimator Statistics for Unimodal Elliptical Distributions in the High Signal-to-Noise Ratio Regime
... behavior of the maximum likelihood estimator in the framework of low noise level (or high signal-to-noise ratio), when the data follow an unimodal elliptical ...
6
Direction of arrival estimation in a mixture of K-distributed and Gaussian noise
... structure of the array output in the absence of noise was strongly employed in the so-called subspace methods, such as MUSIC [6] , MODE [7] or ESPRIT [8] ...Most of these ...
10