Results 41 to 50 of about 13,641 (300)

Near-capacity iterative decoding of binary self-concatenated codes using soft decision demapping and 3-D EXIT charts [PDF]

, 2010
In this paper 3-D Extrinsic Information Transfer (EXIT) charts are used to design binary Self-Concatenated Convolutional Codes employing Iterative Decoding (SECCC-ID), exchanging extrinsic information with the soft-decision demapper to approach the ...
Butt, Muhammad Fasih, Ng, Soon, Riaz, Raja, Hanzo, Lajos   +3 more
core   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Low-Complexity CRC Aided Joint Iterative Detection and SCL Decoding Receiver of Polar Coded SCMA System

IEEE Access, 2020
As the fifth-generation (5G) wireless networks' key technology, the joint design of SCMA and polar code is concerned by the future communication system. In this paper, a CRC aided joint iterative detection and successive cancellation list (SCL) decoding (
Xi Wu, Yafeng Wang, Chuanfeng Li
doaj   +1 more source

Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels [PDF]

, 2006
In this paper, three noise correlation-aided iterative decoding schemes are proposed for magnetic recording channels, where the correlation is imposed by the equalizer's spectral shaping effect.
Suvit Nakpeerayuth, Lunchakorn Wuttisittikulkij, Pisit Vanichchanunt, Nakpeerayuth, S, Wuttisittikulkij, L, Kampol Woradit, Vanichchanunt, P, Woradit, K, Hanzo, L, Lajos Hanzo   +9 more
core   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

EXIT-chart optimized short block codes for iterative joint source and channel decoding in H.264 video telephony [PDF]

, 2009
In this paper, we propose a family of short block codes (SBCs) designed for guaranteed convergence in soft-bit-assisted iterative joint source and channel decoding, which facilitate improved iterative soft-bit source decoding (SBSD) and channel decoding.
Nasruminallah, Lajos
core  

Low-Complexity Multiple-Component Turbo Decoding Aided Hybrid ARQ [PDF]

, 2011
Previous research has focused on improving the throughput of Hybrid Automatic Repeat reQuest (HARQ) schemes. However, since turbo codes have been introduced into HARQ schemes, their complexity has increased owing to the iterative Bahl, Cocke, Jelinek and
Chen, Hong, Hanzo, Lajos, Maunder, Robert G.   +2 more
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

Advanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee, Wooju Park, Sujin Hyung, Sangmin Jung, Kyungho Lee, Junseok Jeon, Noo Li Jeon, Jeeyun Lee, Hye Ryoun Jang, Jihoon Ko   +9 more
wiley   +1 more source

Joint Source and Channel Decoding for Variable Length Encoded Turbo Codes

EURASIP Journal on Advances in Signal Processing, 2007
Joint source and channel decoding (JSCD) has been proved to be an effective technique which can improve decoding performance by exploiting residual source redundancy.
Yang Yang, Can Zhang, Guofang Tu, Jianjun Liu   +3 more
doaj   +1 more source