Top PDF Adaptive detection in elliptically distributed noise and under-sampled scenario
Adaptive detection in elliptically distributed noise and under-sampled scenario
... embedded in elliptically distributed noise with unknown scatter matrix is addressed, in the speciÞc case where the number of training samples is less than the dimension of the ...
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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 and ...
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Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 1: The Over-Sampled Case
... strongly in-ho- mogeneous clutter are well-known ...radars, and speciÞcally for mode-selective multiple input multiple output (MIMO) radars, similar scenario takes place when adaptive MIMO ...
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Distributed adaptive estimation over multitask networks
... events. In chapter 2, the well-known single-task diffusion strategies over MSE networks were reviewed and applied to multitask scenarios where the agents are sensing data arising from different ...regressors ...
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Direction detector for distributed targets in unknown noise and interference
... Introduction: Adaptive radar detection of distributed targets requires proper strategies taking into account the nature of the targets as shown in [ 1 , 2 ...]. In those papers returns ...
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Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 2: The Under-Sampled Case
... IEEE, and Yuri I. Abramovich, Fellow, IEEE Abstract—In the Þrst part of these two papers, we extended the expected likelihood approach originally developed in the Gaussian case, to the broader class ...
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Adaptive FDR control under independence and dependence
... power: in this situation, because of the small number of non rejected hypotheses, two different procedures could have their power very similar and close to 1, but noticeably different ...the adaptive ...
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Adaptive PSK Modulation Scheme in the Presence of Phase Noise
... Contributions: In this paper, we seek to improve the design of inherently robust communication systems impacted by ...(SNR) and a Gaussian PN to derive a closed-form approximation of the Bit Error Rate ...
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Robust adaptive target detection in hyperspectral imaging
... ACE and Kelly exhibit a larger loss than the standard ...ACE and Kelly will be the more affected in this ...selectivity and robust- ...targets and reduce false alarm, are worthy of ...
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Distributed Adaptive Sampling using Bounded-Errors
... applications in the context of environmental mon- itoring, enabling rapid and focused observation of spatially extended fields such as temperature or humidity inside a given region of ...advances in ...
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AdaptDB : adaptive partitioning for distributed joins
... Science in Electrical Engineering and Computer Science Abstract Big data analytics often involves complex join queries over two or more ...expensive in a distributed setting both because large ...
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Adaptive PSK Modulation Scheme in the Presence of Phase Noise
... thermal and phase noise variances To improve spectral efficiency, practical communication systems implement adaptive modulation scheme ...estimation. In the case of a channel dominated by ...
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Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise
... detectors and , appears only in the non-cen- trality parameter of the corresponding ...parameter and hence the greater its ...the detection performance. On the other hand, for , appears both ...
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Direction of arrival estimation in a mixture of K-distributed and Gaussian noise
... properties in non-reg- ular case observed in the presence of K-distributed noise is of theoretical interest, practical scenarios are more ...complicated. In- deed, in radar ...
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Fluctuating target detection in fluctuating K-distributed clutter
... presence in inde- pendent range resolution cells. For Gaussian target and clutter models, (1) leads to the classical non-coherent integration of the coherent processing outputs, and the main focus of ...
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AdaptDB: Adaptive Partitioning for Distributed Joins
... queries in the ...hours and 51 minutes running all the queries compared to 20 hours and 47 minutes when using full scan with shuffle ...hours and 11 minutes running all ...the adaptive ...
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Distributed Boosting for Cloud Detection
... (left) and its cloud mask (right). 2. IMAGES AND FEATURES Album SPOT 6 images consist of 4-channel images acquired in the blue, green, red and near infrared wavelength ...images in ...
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Distributed Boosting for Cloud Detection
... simplicity and efficiency. However, their distributed implementation is complex because of its underlying assumptions ...assumptions and are known to provide high clas- sification performance with a ...
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Evolution of graphite structure under irradiation : A new scenario
... Decommissioning under water interaction: graphite ↔ H 2 O, O 2 , CO 2 … Treatment to eliminate 14 C & 36 Cl, ( 3 H) depends on the localization of 14 C & 36 Cl ...
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Some effects in adaptive robust estimation under sparsity
... deviations under weak moment assumptions. Our setting is different in that we consider the sparsity class Θ s of vectors θ and the rates that we obtain depend on ...Golubev and Krymova [8] ...
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