709 research outputs found

    Performance Analysis of the Decentralized Eigendecomposition and ESPRIT Algorithm

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    In this paper, we consider performance analysis of the decentralized power method for the eigendecomposition of the sample covariance matrix based on the averaging consensus protocol. An analytical expression of the second order statistics of the eigenvectors obtained from the decentralized power method which is required for computing the mean square error (MSE) of subspace-based estimators is presented. We show that the decentralized power method is not an asymptotically consistent estimator of the eigenvectors of the true measurement covariance matrix unless the averaging consensus protocol is carried out over an infinitely large number of iterations. Moreover, we introduce the decentralized ESPRIT algorithm which yields fully decentralized direction-of-arrival (DOA) estimates. Based on the performance analysis of the decentralized power method, we derive an analytical expression of the MSE of DOA estimators using the decentralized ESPRIT algorithm. The validity of our asymptotic results is demonstrated by simulations.Comment: 18 pages, 5 figures, submitted for publication in IEEE Transactions on Signal Processin

    Sequential joint signal detection and signal-to-noise ratio estimation

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    The sequential analysis of the problem of joint signal detection and signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model is considered. The problem is posed as an optimization setup where the goal is to minimize the number of samples required to achieve the desired (i) type I and type II error probabilities and (ii) mean squared error performance. This optimization problem is reduced to a more tractable formulation by transforming the observed signal and noise sequences to a single sequence of Bernoulli random variables; joint detection and estimation is then performed on the Bernoulli sequence. This transformation renders the problem easily solvable, and results in a computationally simpler sufficient statistic compared to the one based on the (untransformed) observation sequences. Experimental results demonstrate the advantages of the proposed method, making it feasible for applications having strict constraints on data storage and computation.Comment: 5 pages, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 201

    Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization

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    Distributed learning paradigms, such as federated or decentralized learning, allow a collection of agents to solve global learning and optimization problems through limited local interactions. Most such strategies rely on a mixture of local adaptation and aggregation steps, either among peers or at a central fusion center. Classically, aggregation in distributed learning is based on averaging, which is statistically efficient, but susceptible to attacks by even a small number of malicious agents. This observation has motivated a number of recent works, which develop robust aggregation schemes by employing robust variations of the mean. We present a new attack based on sensitivity curve maximization (SCM), and demonstrate that it is able to disrupt existing robust aggregation schemes by injecting small, but effective perturbations

    L'optimisation des positions de capteurs pour la détection du cliquetis dans les moteurs à explosion

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    In this study, we consider the problem of finding optimum sensor positions in a group of vibration sensors for knock detection. We propose a method that is less complex than holografic techniques because only signal processing and statistical tests are used . Our method is based on the linear prediction of an arbitrary sensor output from the remaining outputs in the sensor group. The relevancy of the sensor is thus characterized by the closeness to zero of the multiple coherence of its output with the remaining sensor outputs at some frequencies of interest . We choose a suitable statistic, approximate its distribution, and construct the generalized sequentially rejective Benferroni test. We have found in an experiment that the sensor position proposed by the engine manufacturer is not optimum . Experiments with a digital signal processor-based system emphasize the usefulness of this procedure . Through this procedure, we show that the performance of knock detectors strongly depends on the position of the sensor in use and can be improved significantly with moderate effort .Cette étude présente une approche permettant de déterminer les positions optimales de capteurs dans un groupe d'accéléromètres pour la détection du cliquetis dans un moteur à explosion. cette approche est moins complexe que les méthodes holographiques car nous utilisons uniquement le traitement du signal et des tests statistiques. La méthode proposée est basée sur la prédiction linéaire du signal à la sortie d'un capteur à partir des signaux obtenus aux sorties des autres capteurs du groupe. Ainsi, l'emplacement optimal d'un capteur est caractérisé par la proximité de zéro de la cohérence multiple aux fréquences intéressantes. Nous avons choisis une statistique appropriée, approximé sa loi de répartition et appliqué le test multiple à rejet séquentiel de Bonferron

    The Effect of absorbing sites on the one-dimensional cellular automaton traffic flow with open boundaries

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    The effect of the absorbing sites with an absorbing rate β0\beta_{0}, in both one absorbing site (one way out) and two absorbing sites (two ways out) in a road, on the traffic flow phase transition is investigated using numerical simulations in the one-dimensional cellular automaton traffic flow model with open boundaries using parallel dynamics.In the case of one way out, there exist a critical position of the way out ic1 i_{c1} below which the current is constant for β0\beta_{0}<<β0c2\beta_{0c2} and decreases when increasing β0\beta_{0} for β0\beta_{0}>>β0c2\beta_{0c2}. When the way out is located at a position greater than ic2 i_{c2}, the current increases with β0\beta_{0} for β0\beta_{0}<<β0c1\beta_{0c1} and becomes constant for any value of β0\beta_{0} greater than β0c1\beta_{0c1}. While, when the way out is located at any position between ic1 i_{c1} and ic2 i_{c2} (ic1 i_{c1}<<ic2 i_{c2}), the current increases, for β0\beta_{0}<<β0c1\beta_{0c1}, with β0\beta_{0} and becomes constant for β0c1\beta_{0c1}<<β0\beta_{0}<<β0c2\beta_{0c2} and decreases with β0\beta_{0} for β0\beta_{0}>>β0c2\beta_{0c2}. In the later case the density undergoes two successive first order transitions; from high density to maximal current phase at β0\beta_{0}==β0c1\beta_{0c1} and from intermediate density to the low one at β0\beta_{0}==β0c2\beta_{0c2}. In the case of two ways out located respectively at the positions i1 i_{1} and i2 i_{2}, the two successive transitions occur only when the distance i2i_{2}-i1i_{1} separating the two ways is smaller than a critical distance dcd_{c}. Phase diagrams in the (α,β0\alpha,\beta_{0}), (β,β0\beta,\beta_{0}) and (i1,β0i_{1},\beta_{0}) planes are established. It is found that the transitions between Free traffic, Congested traffic and maximal current phase are first order

    The failed liberalisation of Algeria and the international context: a legacy of stable authoritarianism

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    The paper attempts to challenge the somewhat marginal role of international factors in the study of transitions to democracy. Theoretical and practical difficulties in proving causal mechanisms between international variables and domestic outcomes can be overcome by defining the international dimension in terms of Western dominance of world politics and by identifying Western actions towards democratising countries. The paper focuses on the case of Algeria, where international factors are key in explaining the initial process of democratisation and its following demise. In particular, the paper argues that direct Western policies, the pressures of the international system and external shocks influence the internal distribution of power and resources, which underpins the different strategies of all domestic actors. The paper concludes that analysis based purely on domestic factors cannot explain the process of democratisation and that international variables must be taken into more serious account and much more detailed
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