TSP
2010
13 years 6 months ago
2010
Abstract--The performance of existing moments-based nondata-aided (NDA) estimators of signal-to-noise ratio (SNR) in digital communication systems substantially degrades with multi...
TSP
2010
13 years 6 months ago
2010
Abstract--Time synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditional...
TSP
2010
13 years 6 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
TSP
2010
13 years 6 months ago
2010
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
TIM
2010
13 years 6 months ago
2010
In this paper, short- and long-term temporal dynamic information is investigated for the blind measurement of room acoustical parameters. In particular, estimators of room reverber...
SIAMNUM
2010
13 years 6 months ago
2010
Abstract. In [9], we introduced and analyzed a recovery-based a posteriori error estimator for conforming linear finite element approximation to interface problems. It was shown th...
JMLR
2010
13 years 6 months ago
2010
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
TIT
2011
13 years 6 months ago
2011
: In this paper, a novel approach to the problem of estimating the heavy–tail exponent α > 0 of a distribution is proposed. It is based on the fact that block–maxima of siz...
NECO
2011
13 years 6 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
MA
2011
Springer
13 years 6 months ago
2011
Springer
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...