Results 41 to 50 of about 131,778 (213)
Correcting Insertions/Deletions in DPPM Using Hidden Markov Model
IEEE Access, 2020 Differential pulse-position modulation (DPPM) shows significant power and bandwidth efficiency, but suffers from serious insertion/deletion and substitution errors if the DPPM soft-decision symbol-by-symbol detection method is used.
Weigang Chen, Lixia Wang, Changcai Han
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Context‐Dependent Movement Responses of Large Carabids to Forest Gap Cuttings
Ecology and Evolution, Volume 16, Issue 9, September 2026.This study investigates the effects of forest management on the movement of ground beetles within an oak‐hornbeam forest in northern Hungary. We compared a closed‐canopy control stand with various small‐scale canopy gaps. To track movement and habitat use within these treatments, two carabid species, Carabus ullrichii and C.
Jana Růžičková +3 more
wiley +1 more source
Behavioural state identification from ultra‐high‐frequency movement data
Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2713-2728, September 2026.Abstract The hidden Markov model (HMM) is a central framework for identifying behavioural state changes from animal movement data. In this context, movement is typically represented as a sequence of observed metrics, such as step length and turning angle distributions, generated by an unobserved behavioural state process.
Abdulmajeed F. Alharbi +4 more
wiley +1 more source
Divergence coding for convolutional codes
MATEC Web of Conferences, 2017 In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev +4 more
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Speech Preprocessing Method Based on Transmission Wave and Fluid Theory
Engineering Reports, Volume 8, Issue 8, August 2026.With the continuous development of social economy, voice audio has become one of the important ways of streaming media, and is widely used in many fields. However, it is very important for how to process speech. In view of this requirement and limitation, this paper introduces transmission wave and fluid theory, tries to comb the corresponding noise ...
Lixian Wu +5 more
wiley +1 more source
Comparative Study of Turbo Decoding Techniques: An Overview
, 2000 In this contribution, we provide an overview of the novel class of channel codes referred to as turbo codes, which have been shown to be capable of performing close to the Shannon Limit.
Woodard, J.P., Hanzo, L.
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Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]
Jisuanji kexue yu tansuoKnowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
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Molecular Ecology Resources, Volume 26, Issue 6, August 2026.ABSTRACT The RZooRoH R package was implemented to characterize individual inbreeding levels. It identifies DNA segments inherited twice from a common ancestor through different paths, which are known as homozygous‐by‐descent (HBD) segments. The package accepts different data formats and provides multiple outputs: HBD segments, inbreeding rates and ...
Natalia S. Forneris +3 more
wiley +1 more source
High performance ACS for Viterbi decoder using pipeline T-Algorithm
Alexandria Engineering Journal, 2015 Viterbi algorithm is the most popular algorithm used to decode the convolution code, but its computational complexity increases exponentially with the increasing constraint length due to the large number of Trellis transitions.
D. Vaithiyanathan +2 more
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On optimal and near-optimal turbo decoding using generalized max operator [PDF]
, 2009 Motivated by a recently published robust geometric programming approximation, a generalized approach for approximating efficiently the max* operator is presented.
PAPAHARALABOS S +5 more
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