Results 51 to 60 of about 279,804 (305)
Research and implementation of Turbo decoding SOVA algorithm
Dianzi Jishu YingyongFor the application requirements of low-orbit satellite communication, in order to reduce interference and load, convolutional codes, Turbo codes and other channel coding methods are usually used to improve the reliability of transmission.
Wang Danfei, Song Junkang, Xia Huining
doaj +1 more source
Interior Point Decoding for Linear Vector Channels
, 2008 In this paper, a novel decoding algorithm for low-density parity-check (LDPC) codes based on convex optimization is presented. The decoding algorithm, called interior point decoding, is designed for linear vector channels.
Boyd S +6 more
core +4 more sources
FEBS Letters, EarlyView.The enzyme 5‐lipoxygenase (5‐LOX) catalyzes the first step in the biosynthesis of leukotrienes (LTs) involved in inflammatory pathophysiology. After cellular stimulation, 5‐LOX translocates to the nucleus, interacting with the 5‐LOX‐activating protein (FLAP) to form LTA4 from arachidonic acid (AA).
Erik Romp +5 more
wiley +1 more source
Tensor Networks and Quantum Error Correction
, 2014 We establish several relations between quantum error correction (QEC) and tensor network (TN) methods of quantum many-body physics. We exhibit correspondences between well-known families of QEC codes and TNs, and demonstrate a formal equivalence between ...
Ferris, Andrew J., Poulin, David
core +1 more source
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.
Martina, Maurizio +3 more
core +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
On Low Complexity Maximum Likelihood Decoding of Convolutional Codes [PDF]
, 2008 This paper considers the average complexity of maximum likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path taken through a Markov graph.
Luo, Jie
core +1 more source
Single‐cell insights into the role of T cells in B‐cell malignancies
FEBS Letters, EarlyView.Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley +1 more source
On Decoding Strategies for Neural Text Generators
Transactions of the Association for Computational Linguistics, 2022 When generating text from probabilistic models, the chosen decoding strategy has a profound effect on the resulting text. Yet the properties elicited by various decoding strategies do not always transfer across natural language generation tasks.
Gian Wiher +2 more
doaj +1 more source
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
, 2017 Beam search is a desirable choice of test-time decoding algorithm for neural sequence models because it potentially avoids search errors made by simpler greedy methods.
Berg-Kirkpatrick, Taylor +3 more
core +1 more source