Results 51 to 60 of about 3,574 (177)

Squeezed‐Vacuum Bosonic Codes

open access: yesAdvanced Physics Research, Volume 5, Issue 7, July 2026.
ABSTRACT We introduce a family of bosonic quantum error‐correcting codes built as a rotation‐symmetric superposition of squeezed vacuum states, which promise protection against both loss and dephasing noise channels. The robustness of these “squeezed‐vacuum codes” arises from being arranged at evenly spaced angles in phase‐space, and simultaneously in ...
Nir Gutman   +4 more
wiley   +1 more source

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition

open access: yesInternational Journal of Distributed Sensor Networks, 2018
Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun   +3 more
doaj   +1 more source

Novel Intersymbol Interference Cancellation Scheme to Enable Parallel Computational and High-Performance Faster-Than-Nyquist Signaling

open access: yesIEEE Access, 2017
In this paper, we deal with the intersymbol interference (ISI) cancellation problem induced by the faster-than-Nyquist (FTN) signaling. In the traditional FTN signaling, the detection delay at the receiver depends on the number of states of the ISI ...
Bin Qian   +4 more
doaj   +1 more source

A Hybrid Random Forest–SARSA Framework for Resting‐State EEG‐Based Parkinson's Disease Detection With Temporal Decision Refinement

open access: yesBrain and Behavior, Volume 16, Issue 7, July 2026.
The graphical abstract gives an overview of the proposed RF‐SARSA framework used for offline Parkinson's disease and healthy‐control classification from resting‐state EEG signals. The EEG recordings are first cleaned through basic preprocessing steps and then divided into 2‐second windows.
Sanju S, S. Edward Rajan
wiley   +1 more source

Assessing habitat suitability for black grouse broods at the bioregional scale

open access: yesWildlife Biology, Volume 2026, Issue 4, July 2026.
The black grouse Lyrurus tetrix, a galliform species emblematic of the European Alps, is currently threatened by habitat change, particularly given the closure of heathland linked to the rising tree line at higher altitudes. The presence of heathlands in good ecological condition is, however, imperative for the species' reproduction.
Alexandre T. M. Defossez   +6 more
wiley   +1 more source

A Estimation of Stochastic Volatility Models Using Optimized Filtering Algorithms

open access: yesAustrian Journal of Statistics, 2019
In this paper, we describe and implement two recursive filtering algorithms, the optimized particle filter, and the Viterbi algorithm, which allow the joint estimation of states and parameters of continuous-time stochastic volatility models, such as the ...
Saba Infante   +3 more
doaj   +1 more source

Unraveling the Drivers of Water Shortage Across Spatial Scales and Sectors in Colorado's West Slope River Basins

open access: yesEarth's Future, Volume 14, Issue 7, July 2026.
Abstract Colorado's West Slope Basins are a critical source of water for the Colorado River, contributing approximately 70% of the inflows to Lake Powell in a typical year. Whether these basins will face intensifying water shortages by mid‐century remains highly debated due to deep uncertainties in future climate conditions, including the possibility ...
Sai Veena Sunkara   +2 more
wiley   +1 more source

A Novel Entropy-Based Decoding Algorithm for a Generalized High-Order Discrete Hidden Markov Model

open access: yesJournal of Probability and Statistics, 2018
The optimal state sequence of a generalized High-Order Hidden Markov Model (HHMM) is tracked from a given observational sequence using the classical Viterbi algorithm. This classical algorithm is based on maximum likelihood criterion.
Jason Chin-Tiong Chan, Hong Choon Ong
doaj   +1 more source

Efficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi training

open access: yesAlgorithms for Molecular Biology, 2010
Background Hidden Markov models are widely employed by numerous bioinformatics programs used today. Applications range widely from comparative gene prediction to time-series analyses of micro-array data. The parameters of the underlying models need to be
Meyer Irmtraud M, Lam Tin Y
doaj   +1 more source

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