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CSB
2003
IEEE
13 years 10 months ago
Estimating Recombination Rate Distribution by Optimal Quantization
We obtain recombination rate distribution functions for all human chromosomes using an optimal quantization method. This non-parametric method allows us to control over-/under-fi...
Mingzhou Song, Stéphane Boissinot, Robert M...
IPSN
2005
Springer
13 years 10 months ago
Quantizer design and distributed encoding algorithm for source localization in sensor networks
— In this paper, we propose a quantizer design algorithm that is optimized for source localization in sensor networks. For this application, the goal is to minimize the amount of...
Yoon Hak Kim, Antonio Ortega
TCOM
2011
155views more  TCOM 2011»
12 years 11 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
ICASSP
2011
IEEE
12 years 8 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa
VTC
2006
IEEE
116views Communications» more  VTC 2006»
13 years 11 months ago
Distributed Estimation in a Power Constrained Sensor Network
— This paper derives the optimum non-uniform quantization scheme for a distributed estimation problem based on noisy observations in a wireless sensor network. The optimal quanti...
Visvakumar Aravinthan, Sudharman K. Jayaweera, Kos...