Results 11 to 20 of about 956 (179)
Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed-Effects Hidden Markov Model. [PDF]
CPT Pharmacometrics Syst PharmacolABSTRACT Clinical trials in asthma and chronic obstructive pulmonary disease often use exacerbation risk as the primary endpoint. However, exacerbations occur with low frequency, leading to long and costly clinical trials. Home‐measured spirometry, which is becoming more common, provides an alternative and has previously been used to shorten the ...
Jakobsson L +4 more
europepmc +2 more sources
Ringed Seal (Pusa hispida) Haul-Out Behavior and Emergence Timing in the Bering, Chukchi, and Beaufort Seas. [PDF]
Ecol EvolIn the spring, ringed seals (Pusa hispida) shift from predominantly hauling out in lairs to predominantly hauling out on the surface of the sea ice to bask and molt, a transition we refer to as “emergence.” We used hidden Markov models (HMMs) to analyze haul‐out timelines from satellite‐linked transmitters to estimate emergence dates of ringed seals ...
Lindsay JM +6 more
europepmc +2 more sources
Viterbi decoding of CRES signals in Project 8
New Journal of Physics, 2022 Cyclotron radiation emission spectroscopy (CRES) is a modern approach for determining charged particle energies via high-precision frequency measurements of the emitted cyclotron radiation. For CRES experiments with gas within the fiducial volume, signal
A Ashtari Esfahani +47 more
doaj +1 more source
Hadamard–Viterbi Joint Soft Decoding for MFSK Underwater Acoustic Communications
Remote Sensing, 2022 Multiple Frequency-Shift Keying (MFSK) has been used widely for underwater acoustic communications due to its low complexity and channel robustness.
Fei-Yun Wu +3 more
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Node Synchronization for the Viterbi Decoder [PDF]
IEEE Transactions on Communications, 1984 Motivated by the needs of NASA's Voyager 2 mission, in this paper we describe an algorithm which detects and corrects losses of node synchronization in convolutionally encoded data. This algorithm, which would be implemented as a hardware device external to a Viterbi decoder, makes statistical decisions about node synch based on the hard-quantized ...
Lorden, Gary +2 more
openaire +2 more sources
BMC Bioinformatics, 2005 Background Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of predicting membrane protein topology.
Martelli Pier +2 more
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Adaptive decoding of convolutional codes [PDF]
Advances in Radio Science, 2007 Convolutional codes, which are frequently used as error correction codes in digital transmission systems, are generally decoded using the Viterbi Decoder. On the one hand the Viterbi Decoder is an optimum maximum likelihood decoder, i.e.
K. Hueske, J. Geldmacher, J. Götze
doaj
Improved Decoding Algorithms for Convolutional Codes
Кібернетика та комп'ютерні технологіїIntroduction. The considered implementation of the Viterbi algorithm provides a reduction in hardware and time costs for decoding convoluted code sequences, and can be used for semi-realistic modeling of existing means of data transmission (for example ...
Kateryna Sosnenko
doaj +1 more source
Journal of ICT Research and Applications, 2016 Convolutional encoding and data decoding are fundamental processes in convolutional error correction. One of the most popular error correction methods in decoding is the Viterbi algorithm.
Rachmad Vidya Wicaksana Putra +1 more
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An Over-the-Air Multi-User Convolutional Code for URLLC
IEEE Open Journal of the Communications SocietyURLLC applications impose stringent latency and reliability requirements, making its compliance challenging due to the inherent trade-off between them. These applications typically involve the exchange of small information blocks. Convolutional codes (CC)
Rafael Santos +3 more
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