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Locating the nodes: cooperative localization in wireless sensor networks
TLDR
Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements in wireless sensor networks.
View on IEEE
Relative location estimation in wireless sensor networks
TLDR
This work derives CRBs and maximum-likelihood estimators (MLEs) under Gaussian and log-normal models for the TOA and RSS measurements, respectively for sensor location estimation when sensors measure received signal strength or time-of-arrival between themselves and neighboring sensors.
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Space-alternating generalized expectation-maximization algorithm
TLDR
The paper describes the space-alternating generalized EM (SAGE) method, which updates the parameters sequentially by alternating between several small hidden-data spaces defined by the algorithm designer, and proves that the sequence of estimates monotonically increases the penalized-likelihood objective, derive asymptotic convergence rates, and provide sufficient conditions for monotone convergence in norm.
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Sparse LMS for system identification
TLDR
A new approach to adaptive system identification when the system model is sparse is proposed, which results in a zero-attracting LMS and a reweighted zero attractor, and it is proved that the ZA-LMS can achieve lower mean square error than the standard LMS.
View on IEEE
Distributed weighted-multidimensional scaling for node localization in sensor networks
TLDR
A scalable, distributed weighted-multidimensional scaling (dwMDS) algorithm that adaptively emphasizes the most accurate range measurements and naturally accounts for communication constraints within the sensor network is introduced.
View on ACM
Shrinkage Algorithms for MMSE Covariance Estimation
TLDR
This work improves on the Ledoit-Wolf method by conditioning on a sufficient statistic, and proposes an iterative approach which approximates the clairvoyant shrinkage estimator, referred to as the oracle approximating shrinkage (OAS) estimator.
View on IEEE
Lower bounds for parametric estimation with constraints
A Chapman-Robbins form of the Barankin bound is used to derive a multiparameter Cramer-Rao (CR) type lower bound on estimator error covariance when the parameter theta in R/sup n/ is constrained to…
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Targeting of GFP to newborn rods by Nrl promoter and temporal expression profiling of flow-sorted photoreceptors.
TLDR
The Maf-family transcription factor Nrl is a key regulator of photoreceptor differentiation in mammals and it is shown that a 2.5-kb Nrl promoter segment directs the expression of enhanced GFP specifically to rod photoreceptors and the pineal gland of transgenic mice.
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A Convergent Incremental Gradient Method with a Constant Step Size
TLDR
An incremental aggregated gradient method for minimizing a sum of continuously differentiable functions and it is shown that the method visits infinitely often regions in which the gradient is small.
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Internet tomography
TLDR
This article introduces the new field of network tomography, a field which it is believed will benefit greatly from the wealth of signal processing theory and algorithms.
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