Results 191 to 200 of about 59,513 (222)
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Kullback–Leibler divergence: A quantile approach

Statistics & Probability Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P.G. Sankaran   +2 more
openaire   +2 more sources

Generalization of the Kullback–Leibler divergence in the Tsallis statistics

open access: yesJournal of Mathematical Analysis and Applications, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Juntao Huang, Wen-An Yong, Liu Hong
exaly   +3 more sources

Use of Kullback–Leibler divergence for forgetting

International Journal of Adaptive Control and Signal Processing, 2008
AbstractNon‐symmetric Kullback–Leibler divergence (KLD) measures proximity of probability density functions (pdfs). Bernardo (Ann. Stat.1979;7(3):686–690) had shown its unique role in approximation of pdfs. The order of the KLD arguments is also implied by his methodological result.
Kárný, Miroslav, Andrýsek, Josef
openaire   +1 more source

Kullback–Leibler divergence for evaluating bioequivalence

Statistics in Medicine, 2003
AbstractIn this paper we propose a methodology for evaluating the bioequivalence of two formulations of a drug that encompasses not only average bioequivalence (ABE), but also the more recently introduced measures of population bioequivalence (PBE) and individual bioequivalence (IBE). The latter two measures are concerned with prescribability (PBE) and
Vladimir, Dragalin   +3 more
openaire   +2 more sources

Acoustic environment identification by Kullback–Leibler divergence

Forensic Science International, 2017
This paper presents a forensic methodology that determines, from among a set of recording places, the probable place where allegedly a disputed digital audio recording was made. The methodology considers that digital audio recordings are noisy signals that have two involved noise components.
G, Delgado-Gutiérrez   +3 more
openaire   +2 more sources

Source Resolvability with Kullback-Leibler Divergence

2018 IEEE International Symposium on Information Theory (ISIT), 2018
The first- and second-order optimum achievable rates in the source resolvability problem are considered for general sources. In the literature, the achievable rates in the resolvability problem with respect to the variational distance as well as the normalized Kullback-Leibler (KL) divergence have already been analyzed. On the other hand, in this study
openaire   +1 more source

Complex NMF with the generalized Kullback-Leibler divergence

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
We previously introduced a phase-aware variant of the non-negative matrix factorization (NMF) approach for audio source separation, which we call the “Complex NMF (CNMF).” This approach makes it possible to realize NMF-like signal decompositions in the complex time-frequency domain. One limitation of the CNMF framework is that the divergence measure is
Hirokazu Kameoka   +2 more
openaire   +1 more source

Estimation of Kullback–Leibler Divergence by Local Likelihood

Annals of the Institute of Statistical Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Young Kyung, Park, Byeong U.
openaire   +2 more sources

Matrix CFAR detectors based on symmetrized Kullback–Leibler and total Kullback–Leibler divergences

Digital Signal Processing, 2017
Target detection in clutter is a fundamental problem in radar signal processing. When the received radar signal contains only few pulses, it is difficult to achieve a satisfactory performance using the traditional detection algorithm. In recent times, a generalized constant false alarm rate (CFAR) detector on the Riemannian manifold of Hermitian ...
Xiaoqiang Hua   +5 more
openaire   +1 more source

Estimating the Kullback–Leibler Divergence

2014
We now investigate how the KLD rate can be estimated from a single empirical stationary trajectory, obtained from a stochastic stationary process whose dynamics is unknown. We assume that the empirical stationary trajectory contains \(n\) data of one or several random variables denoted by the letter \(X\).
openaire   +1 more source

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