Results 31 to 40 of about 4,806,885 (346)
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
doaj +1 more source
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Bioinform., 2006 UNLABELLED RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML).
A. Stamatakis
semanticscholar +1 more source
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
doaj +1 more source
Maximum Likelihood Genome Assembly [PDF]
Journal of Computational Biology, 2009 Whole genome shotgun assembly is the process of taking many short sequenced segments (reads) and reconstructing the genome from which they originated. We demonstrate how the technique of bidirected network flow can be used to explicitly model the double-stranded nature of DNA for genome assembly.
Paul Medvedev, Michael Brudno
openaire +2 more sources
Maximum likelihood pandemic-scale phylogenetics
bioRxiv, 2022 Phylogenetics has a crucial role in genomic epidemiology. Enabled by unparalleled volumes of genome sequence data generated to study and help contain the COVID-19 pandemic, phylogenetic analyses of SARS-CoV-2 genomes have shed light on the virus’s ...
N. de Maio +5 more
semanticscholar +1 more source
Soft Maximum Likelihood Decoding using GRAND [PDF]
ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020 Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implement.
Amit Solomon, K. Duffy, Muriel M'edard
semanticscholar +1 more source
Approximate maximum likelihood estimation of two closely spaced sources [PDF]
, 2014 The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Chaumette, Eric +2 more
core +1 more source
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
doaj +1 more source
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
PLoS ONE, 2010 Background We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability.
M. Price, Paramvir S. Dehal, A. Arkin
semanticscholar +1 more source
Maximum Likelihood Estimation in Data-Driven Modeling and Control [PDF]
IEEE Transactions on Automatic Control, 2020 Recently, various algorithms for data-driven simulation and control have been proposed based on the Willems’ fundamental lemma. However, when collected data are noisy, these methods lead to ill-conditioned data-driven model structures.
Mingzhou Yin, A. Iannelli, Roy S. Smith
semanticscholar +1 more source