Results 91 to 100 of about 13,641 (300)

A Survey and Tutorial on Low-Complexity Turbo Coding Techniques and a Holistic Hybrid ARQ Design Example [PDF]

, 2013
Hybrid Automatic Repeat reQuest (HARQ) has become an essential error control technique in communication networks, which relies on a combination of arbitrary error correction codes and retransmissions.
Chen, Hong, Hanzo, Lajos, Maunder, Robert G.   +2 more
core   +1 more source

FGF13 Deficiency Ameliorates Paclitaxel‐Induced Neuropathic Pain by Inhibiting VASH1‐Mediated Microtubule Detyrosination to Promote Mitophagy

Advanced Science, EarlyView.
FGF13 is upregulated in DRG neurons of PIPNP model mice. DRG neuron‐specific knockout of FGF13 ameliorates PIPNP symptoms. Mechanistically, FGF13 potentiates microtubule detyrosination by promoting VASH1 binding to microtubules. FGF13 knockout suppresses VASH1‐mediated microtubule detyrosination and promotes α‐tubulin tyrosination.
Yiming Dong, Yidan Wang, Simeng Lv, Zishan Dong, Kaixi Zhi, Xiuhua Guo, Xuyan Li, Ruoxi Yu, Yiyi Zhang, Siyuan Cheng, Chuan Wang   +10 more
wiley   +1 more source

EXIT chart aided design of DS-CDMA UltraWideBand systems using Iterative decoding [PDF]

, 2008
This paper presents a novel ultrawideband (UWB), direct sequence code division multiple access (DS-CDMA) aided system designed for the IEEE 802.15.3a UWB channel specifications.
M. El-Hajjar, Ahmed, Q.Z., S. Chen, El-Hajjar, Mohammed, Chen, Sheng, S. X. Ng, Q. Z. Ahmed, R. A. Riaz, Ng, Soon Xin, L. Hanzo, Riaz, R.A., Hanzo, Lajos   +11 more
core   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Joint source-channel iterative decoding based on hidden markov model

Tongxin xuebao, 2006
A joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed.
YIN Wei-wei, WU Le-nan
doaj   +2 more sources

Extrinsic Information Modification in the Turbo Decoder by Exploiting Source Redundancies for HEVC Video Transmitted Over a Mobile Channel

IEEE Access, 2016
An iterative turbo decoder-based cross layer error recovery scheme for compressed video is presented in this paper. The soft information exchanged between two convolutional decoders is reinforced both by channel coded parity and video compression ...
Ryan Perera, Hemantha Kodikara Arachchi, Muhammad Ali Imran, Pei Xiao   +3 more
doaj   +1 more source

Block-based precoding for serially concatenated codes [PDF]

, 2009
Precoders have been shown to facilitate iterative decoding convergence towards the Maximum Likelihood (ML) performance in serially concatenated schemes.
Hanzo, L., Maunder, R. G.
core   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Exact Bayes’ theorem based probabilistic data association for iterative MIMO detection and decoding [PDF]

, 2013
In our previous work, it was shown that the conventional approximate Bayes' theorem based probabilistic data association (PDA) algorithms output "nominal APPs", which are unsuitable for the classic architecture of iterative detection and decoding (IDD ...
Yang, Shaoshi, Shaoshi Yang, Hanzo, Lajos, Lajos Hanzo   +3 more
core   +1 more source

Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers

Advanced Science, EarlyView.
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn, Siyu Wang, Lang Qin, Alessandro Ascani Orsini, Kenzi Griffith, Rachana Suresh, Fausto Kang, Pierce L Perkins, Neha Joshi, Alexis L Lowe, Sami Tuffaha, Nitish V Thakor   +11 more
wiley   +1 more source