Results 161 to 170 of about 217,546 (313)

A convolutional code-based sequence analysis model and its application. [PDF]

Int J Mol Sci, 2013
Liu X, Geng X.
europepmc   +1 more source

An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes [PDF]

arXiv
The most famous error-decoding algorithm for convolutional codes is the Viterbi algorithm. In this paper, we present a new reduced complexity version of this algorithm which can be applied to a class of binary convolutional codes with optimum column distances called k-partial simplex convolutional codes.
arxiv  

A class of high-rate double-error-correcting convolutional codes

, 1970
S.M. Reddy, George I. Davida, John P. Robinson   +2 more
openalex   +1 more source

On interleaver design for serially concatenated convolutional codes [PDF]

, 2002
R. Jordan, Stefan Höst, Rolf Johannesson   +2 more
openalex   +1 more source

A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media

Advanced Intelligent Systems, EarlyView.
In this work, a physics‐informed neural network is presented as a digital twin for modeling and studying optically turbid media without requiring reference light. The model learns and integrates complex wavefront modulation behavior, ensuring robustness without explicit calibration.
Mohammadrahim Kazemzadeh, Liam Collard, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

Threshold decoding of hospitals self-original conventional codes

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2019
The efficiency of threshold decoding of non-binary self-orthogonal convolutional codes in the communication channel with additive white Gaussian noise with the correction of t (t ≥ 1) symbolic errors is considered.
E. G. Makeichik, A. I. Korolev, V. K. Kanapelka   +2 more
doaj  

Addendum to “Generalized permutations in convolutional codes”

, 1979
P. Piret
openalex   +1 more source

Construction results for MDS-convolutional codes [PDF]

, 2002
Roxana Smarandache, Heide Gluesing-Luerssen, Joachim Rosenthal   +2 more
openalex   +1 more source

From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery

Advanced Intelligent Systems, EarlyView.
This study introduces a novel method for labeling real‐world color and infrared images using a synthetically trained system. Applied to flight test imagery, the new labels enhance object detection. The method works without expensive truth systems or camera calibration, enabling predictions on past datasets and addressing the need for high‐quality ...
Jeffrey Choate, Derek Worth, Scott L. Nykl, Clark Taylor, Brett Borghetti, Christine Schubert Kabban, Ryan Raettig   +6 more
wiley   +1 more source

Coal rock image recognition method based on improved CLBP and receptive field theory

Deep Underground Science and Engineering, Volume 1, Issue 2, Page 165-173, December 2022., 2022
In view of the evident differences between coal and rock in visual attributes such as color, gloss, and texture, the complete local binary pattern (CLBP) image feature descriptor is introduced for coal and rock image recognition, and the original algorithm oversimplifies local texture features by ignoring imaging information from higher‐order pixels ...
Chuanmeng Sun, Ruijia Xu, Chong Wang, Tiehua Ma, Jiaxin Chen   +4 more
wiley   +1 more source