Results 121 to 130 of about 13,641 (300)

Turbo Decoding and Detection for Wireless Applications [PDF]

, 2007
A historical perspective of turbo coding and turbo transceivers inspired by the generic turbo principles is provided, as it evolved from Shannon’s visionary predictions.
Robertson, Patrick, Woodard, J.P., Hanzo, Lajos, Woodard, Jason, Hanzo, L., Robertson, P   +5 more
core   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Iterative multiuser detection and channel decoding for DS-CDMA using Harmony Search [PDF]

, 2009
A novel random-guided optimization method is proposed for multiuser detection (MUD) in DS-CDMA systems employing the so-called Harmony Search (HS) algorithm.
Zhang, Rong, Hanzo, Lajos
core  

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Low Complexity Approach for High Throughput Belief-Propagation based Decoding of LDPC Codes

Advances in Electrical and Computer Engineering, 2013
The paper proposes a low complexity belief propagation (BP) based decoding algorithm for LDPC codes. In spite of the iterative nature of the decoding process, the proposed algorithm provides both reduced complexity and increased BER performances as ...
BOT, A., BORDA, M., BELEAN, B., NEDEVSCHI, S.   +3 more
doaj   +1 more source

DMS‐MaPseq and DREEM Analyses Implicate the Critical Role of RNA Structural Dynamics in Turnip Yellow Mosaic Virus Pathogenicity

Advanced Science, EarlyView.
RNA structural profiling of Turnip Yellow Mosaic Virus by DMS‐MaPseq and DREEM analyses uncover that viral genome‐wide RSS is highly complicated and heterogeneous, with alternative RSSs widely distributed across the genome. Notably, the viral 3’ tRNA‐like structure adopts alternative conformations in vivo.
Jiaying Zhu, Changhao Li, Chisimbily Onyia, Xindi Li, Xingxing Yan, Songxiao Zhong, Taerin Oh, Xiuren Zhang   +7 more
wiley   +1 more source

Field‐Free Spin‐Splitting‐Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High‐Performance Recognition

Advanced Science, EarlyView.
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng, Baoshan Cui, Xi Guo, Jiahao Liu, Xiaoyu Feng, Liang Fang, Li Xi, Xiaolong Fan, Xiaoxi Liu, Yang Guo   +9 more
wiley   +1 more source

Iterative Decoding of Serial Concatenated Convolutionally Encoded Signals over Frequency Selective Fading Channels

Journal of Engineering and Sustainable Development, 2007
Serial concatenated convolutional coding with iterative decoding is examined for data transmission employing BFSK (binary frequency shift keying) modulation and non-coherent detection receiver.
Maha George Zia
doaj  

Low Complexity Early Stopping Belief Propagation Decoder for Polar Codes

IEEE Access
Belief propagation is one of low latency decoding algorithms for polar codes but it requires relatively high decoding complexity due to its inherent iterative decoding nature.
Chungsu Lee, Chansoo Park, Sungyeol Back, Wangrok Oh   +3 more
doaj   +1 more source

Reduced Complexity In-Phase/Quadrature-Phase M-QAM Turbo Equalization Using Iterative Channel Estimation [PDF]

, 2003
A reduced complexity trellis-based turbo equalizer known as the in-phase (I)/quadrature-phase (Q) turbo equalizer (TEQ-IQ) invoking iterative channel impulse response (CIR) estimation is proposed. The underlying principle of TEQ-IQ is based on equalizing
Yeap, B.L., Wong, C.H., Hanzo, L.
core