Results 11 to 20 of about 17,702 (167)
Accurate structural correlations from maximum likelihood superpositions. [PDF]
PLoS Computational Biology, 2008 The cores of globular proteins are densely packed, resulting in complicated networks of structural interactions. These interactions in turn give rise to dynamic structural correlations over a wide range of time scales.
Douglas L Theobald, Deborah S Wuttke
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Maximum Likelihood Localization Method With MIMO-OFDM Transmission
IEEE Access, 2021 In this research, we propose to estimate the location of mobile users by using the maximum likelihood (ML) method with statistical properties of the transmission signal angle of departure (AOD) and received signal strength (RSS) from access points (APs ...
Wan Amirul Mahyiddin +3 more
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Quantum circuit cutting with maximum-likelihood tomography
npj Quantum Information, 2021 We introduce maximum-likelihood fragment tomography (MLFT) as an improved circuit cutting technique for running clustered quantum circuits on quantum devices with a limited number of qubits.
Michael A. Perlin +3 more
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Maximum Likelihood Estimation of Seismic Impulse Response [PDF]
Modeling, Identification and Control, 1985 A seismic trace is assumed to consist of a known signal pulse convolved with a reflection coefficient series plus a moving average noise process (colored noise).
B. Ursin, O. Holberg
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Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering
Sensors, 2021 A popular approach for solving the indoor dynamic localization problem based on WiFi measurements consists of using particle filtering. However, a drawback of this approach is that a very large number of particles are needed to achieve accurate results ...
Wenxu Wang, Damián Marelli, Minyue Fu
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On maximum-likelihood decoding with circuit-level errors [PDF]
Quantum, 2020 Error probability distribution associated with a given Clifford measurement circuit is described exactly in terms of the circuit error-equivalence group, or the circuit subsystem code previously introduced by Bacon, Flammia, Harrow, and Shi. This gives a
Leonid P. Pryadko
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Maximum likelihood localization: When does it fail?
ICT Express, 2016 Maximum likelihood is a criterion often used to derive localization algorithms. In particular, in this paper we focus on a distance-based algorithm for the localization of nodes in static wireless networks. Assuming that Ultra Wide Band (UWB) signals are
Stefania Monica, Gianluigi Ferrari
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A new maximum-likelihood method for template fits
European Physical Journal C: Particles and Fields, 2022 A common statistical problem in particle physics is to extract the number of samples which originate from a statistical process in an ensemble containing a mix of several contributing processes. The probability density function of each process is usually
Hans Dembinski, Ahmed Abdelmotteleb
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New maximum likelihood estimators for eukaryotic intron evolution. [PDF]
PLoS Computational Biology, 2005 The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory.
Hung D Nguyen +2 more
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Privacy-preserving Maximum Likelihood Estimation for Distributed Data
The Journal of Privacy and Confidentiality, 2010 Recent technological advances enable the collection of huge amounts of data. Commonly, these data are generated, stored, and owned by multiple entities that are unwilling to cede control of their data. This distributed environment requires statistical
Xiaodong Lin, Alan F. Karr
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