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82
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ICIP
2005
IEEE
16 years 2 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
124
Voted
SCALESPACE
2001
Springer
15 years 5 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
101
Voted
EMNLP
2010
14 years 10 months ago
Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
In this article, an original view on how to improve phrase translation estimates is proposed. This proposal is grounded on two main ideas: first, that appropriate examples of a gi...
Aurélien Max
129
Voted
IPSN
2005
Springer
15 years 6 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama
101
Voted
GLOBECOM
2008
IEEE
15 years 7 months ago
Numerical Performance Evaluation of OFDM Systems Affected by Transmitter Nonlinearities, Phase Noise and Channel Estimation Erro
Abstract—In this contribution we present a numerical approach to evaluate the bit error rate and mutual information of OFDM links affected by transmitter nonlinearities, phase no...
Steffen Bittner, Marco Krondorf, Gerhard Fettweis