Results 41 to 50 of about 136,829,320 (227)

On the Influence of the Extrinsic Information Scaling Coefficient on the Performance of Single and Double Binary Turbo Codes

Advances in Electrical and Computer Engineering, 2013
This paper presents a study on the influence of the extrinsic information scaling coefficient value (eic) on the bit and frame error rate (BER/FER), for single and double binary turbo codes (S/DBTC) decoded with maximum a posteriori (MAP) and maximum ...
BALTA, H., DOUILLARD, C.
doaj   +1 more source

Particle methods for maximum likelihood estimation in latent variable models [PDF]

, 2008
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel, Johansen, Adam M., Adam M. Johansen, Doucet, Arnaud, Doucet, A, Arnaud Doucet, Manuel Davy, Johansen, AM, Davy, M   +8 more
core   +1 more source

Estimation of Spatially Varying Parameters with Application to Hyperbolic SPDES

Journal of Applied Mathematics, 2023
Parameter estimation is a growing area of interest in statistical signal processing. Some parameters in real-life applications vary in space as opposed to those that are static. Most common methods in estimating parameters involve solving an optimization
David Angwenyi
doaj   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Easy and reliable maximum a posteriori Bayesian estimation of pharmacokinetic parameters with the open‐source R package mapbayr

CPT: Pharmacometrics & Systems Pharmacology, 2021
Pharmacokinetic (PK) parameter estimation is a critical and complex step in the model‐informed precision dosing (MIPD) approach. The mapbayr package was developed to perform maximum a posteriori Bayesian estimation (MAP‐BE) in R from any population PK ...
Félicien Le Louedec, Florent Puisset, Fabienne Thomas, Étienne Chatelut, Mélanie White‐Koning   +4 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Maximum a Posteriori Estimation of Coupled Hidden Markov Models

Journal of VLSI signal processing systems for signal, image and video technology, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rezek, I, Gibbs, M, Roberts, S
openaire   +4 more sources

Hybrid maximum a posteriori estimation under communication constraints [PDF]

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
We consider the problem of joint-state estimation for mobile wireless sensor networks (WSN) using noisy analog observations from spatially-distributed sensors. Due to communication bandwidth constraints, sensors can transmit only quantized observations. As opposed to existing estimators that process either only quantized or only analog observations, we
Esha D. Nerurkar, Stergios I. Roumeliotis   +1 more
openaire   +1 more source

Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia

Advanced Science, EarlyView.
The gut microbiota organizes into two robust association patterns linked to colorectal neoplasia risk. Topological shifts in microbial networks are associated with metabolite alterations and may shape host responses during disease development. ABSTRACT Alterations of gut microbial communities impact health.
Kai Song, Youwen Qin, Jiahui Luo, Liping Liu, Chenyu Luo, Yinbin Qiu, Yiyi Zhong, Huanzi Zhong, Kui Wu, Meng Ni, Dong Wu, Min Dai, Shida Zhu, Hongda Chen   +13 more
wiley   +1 more source

Comparative Evaluation of Chelator‐Conjugated Peptides for Lead‐Labeled SSTR2‐Targeted Theranostics: Integrated Computational Modeling and Preclinical Validation

Advanced Science, EarlyView.
The study integrates density functional theory with radiochemical and biological validation to compare DOTA‐, PSC‐, and DOTAM‐based chelator‐conjugates for 203Pb/212Pb theranostic applications. Distinct differences in metal coordination, electrostatic properties, conformational flexibility, cellular uptake, biodistribution, and dosimetry are identified
Jeongyun Kim, Na Yeon Han, Ayman Muzammal, Jae Hun Ahn, Changkeun Im, Sujin Kim, Sairan Eom, Choong Mo Kang, Ku Kang, Yong Jin Lee, Kyo Chul Lee, Michael K. Schultz, Dongyoul Lee   +12 more
wiley   +1 more source