Results 21 to 30 of about 132 (124)

Optimal interleaving scheme for convolutional coding

Electronics Letters, 1989
An optimal scheme is given for interleaving using an n×m array when the maximum length burst of errors is greater than m. It involves transmitting the rows of the array in a specified (nonsequential) order, but introduces no additional overheads. This scheme is particularly beneficial for convolutional coding.
E. Dunscombe, F.C. Piper
openaire   +1 more source

Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays

Advanced Science, EarlyView.
2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park, Jaewoo Choi, Gigon Nam, Junsu Yu, Donghyun Ryu, Jung‐Kyu Lee, Sungjoon Kim, Sungjun Kim   +7 more
wiley   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Design and Evaluation of Adaptive (Serial/Parallel) Concatenated Convolutional Codes

Journal of Engineering and Sustainable Development, 2006
In this paper, parallel Concatenated Convolutional Codes (PCCCs) is modeled as a special case of Serial Concatenated Convolutional Code (SCCCs). Consequently, resulting in Adaptive (parallel/serial) concatenated convolutional code in which the same ...
Khamis A. Zidan, Raghad Z. Yousif
doaj  

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

On The Performance of Turbo Codes With Convolutional Interleavers

2005 Asia-Pacific Conference on Communications, 2005
In this paper, some issues governing the block-wise performance of convolutional interleavers used in turbo codes are presented. Two different constructions of convolutional interleaver differing by the position of stuff bits in the interleaved data block are considered here. The performance assessment is based on the contribution of each weight to the
Vafi, Sina, Wysocki, Tadeusz
openaire   +2 more sources

Multi‐omics–driven precision medicine

iMeta, EarlyView.
Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li, Zhe Zhao, Yifan Zhang, Yao Ma, Gaofei Hu, Min Zeng, Zhanqun Yang, Zixuan Zhao, Xin Zhou, Wei Hu, Yuxuan Sun, Meng Su, Jun Li, Matthew Whiteman, Wei Fu, Chao Zhong, Lemin Zheng, Long Chen, Hairong Lv, Rongsheng Zhao, Yi Zhun Zhu   +20 more
wiley   +1 more source

On interleaver design for serially concatenated convolutional codes [PDF]

Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), 2002
Serially concatenated convolutional codes are considered. The free distance of this construction is shown to be lower-bounded by the product of the free distances of the outer and inner codes, if the precipices of the interleaver are sufficiently large. It is shown how to construct a convolutional scrambler with a given precipice.
Jordan, Ralph, Höst, Stefan, Johannesson, Rolf   +2 more
openaire   +2 more sources

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

Laser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li, Yiyang Wu, Shiqi Chen, Xilin Yang, Aydogan Ozcan   +4 more
wiley   +1 more source