Academic literature on the topic 'LP decoder'

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Journal articles on the topic "LP decoder"

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Zhang, Ji, Anmin Chen, Ying Zhang, Baofeng Ji, Huaan Li, and Hengzhou Xu. "Low-Density Parity-Check Decoding Algorithm Based on Symmetric Alternating Direction Method of Multipliers." Entropy 27, no. 4 (2025): 404. https://doi.org/10.3390/e27040404.

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The Alternating Direction Method of Multipliers (ADMM) has proven to be an efficient approach for implementing linear programming (LP) decoding of low-density parity-check (LDPC) codes. By introducing penalty terms into the LP decoding model’s objective function, ADMM-based variable node penalized decoding effectively mitigates non-integral solutions, thereby improving frame error rate (FER) performance, especially in the low signal-to-noise ratio (SNR) region. In this paper, we leverage the ADMM framework to derive explicit iterative steps for solving the LP decoding problem for LDPC codes wi
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Dimakis, Alexandros G., Amin A. Gohari, and Martin J. Wainwright. "Guessing Facets: Polytope Structure and Improved LP Decoder." IEEE Transactions on Information Theory 55, no. 8 (2009): 3479–87. http://dx.doi.org/10.1109/tit.2009.2023735.

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Javvadi, Sruthi Pavani, C. R. S. Hanuman, Sivadurgarao Parasa, and Sannajah Naraganeni. "High Speed Low Power Analysis of 12 Transistors 2×4 line Decoder using 45GPDK Technology." Scalable Computing: Practice and Experience 25, no. 5 (2024): 3674–90. http://dx.doi.org/10.12694/scpe.v25i5.3096.

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This paper proposes the high speed low power analysis of 12 transistors 2×4 Low Power (LP) and Low Power Inverting (LPI) Decoders by using Dual Value Logic (DVL) and Complementary Metal Oxide Semiconductor (CMOS) Logic. A huge challenge faced by this era of developing is power reduction. The LP circuit design is a requesting issue in high performance digital frameworks, for example, microchips, DSPs and other different applications. Power and speed are the main highlights considered while comparing any design. Diminishing chip area is additionally truly impressive factor, designers need to rec
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Cao, Jiaping, Jichao Li, and Jiang Jiang. "Link Prediction for Temporal Heterogeneous Networks Based on the Information Lifecycle." Mathematics 11, no. 16 (2023): 3541. http://dx.doi.org/10.3390/math11163541.

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Link prediction for temporal heterogeneous networks is an important task in the field of network science, and it has a wide range of real-world applications. Traditional link prediction methods are mainly based on static homogeneous networks, which do not distinguish between different types of nodes in the real world and do not account for network structure evolution over time. To address these issues, in this paper, we study the link prediction problem in temporal heterogeneous networks and propose a link prediction method for temporal heterogeneous networks (LP-THN) based on the information
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Wang, Zhuo, Alan A. Stocker, and Daniel D. Lee. "Efficient Neural Codes That Minimize Lp Reconstruction Error." Neural Computation 28, no. 12 (2016): 2656–86. http://dx.doi.org/10.1162/neco_a_00900.

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The efficient coding hypothesis assumes that biological sensory systems use neural codes that are optimized to best possibly represent the stimuli that occur in their environment. Most common models use information–theoretic measures, whereas alternative formulations propose incorporating downstream decoding performance. Here we provide a systematic evaluation of different optimality criteria using a parametric formulation of the efficient coding problem based on the [Formula: see text] reconstruction error of the maximum likelihood decoder. This parametric family includes both the information
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Fathallah, Mohamed, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, and Gamal Farok. "Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks." Sensors 24, no. 19 (2024): 6280. http://dx.doi.org/10.3390/s24196280.

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This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. Key innovations include (1) a generator architecture based on Graph Convolutional Networks (GCNs) with a novel loss function and identity blocks, mitigating mode collapse and instability; (2) the integration of facial landmarks and a non-parametric efficient-net decoder for enhanced feature capture; and (3) a lightweight GCN-b
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Bakheit, Ahmed H., and Hamad M. Alkahtani. "Integrated Structural, Functional, and ADMET Analysis of 2-Methoxy-4,6-Diphenylnicotinonitrile: The Convergence of X-ray Diffraction, Molecular Docking, Dynamic Simulations, and Advanced Computational Insights." Molecules 28, no. 19 (2023): 6859. http://dx.doi.org/10.3390/molecules28196859.

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This study systematically investigates the molecular structure and electronic properties of 2-methoxy-4,6-diphenylnicotinonitrile, employing X-ray diffraction (XRD) and sophisticated computational methodologies. XRD findings validate the compound’s orthorhombic crystallization in the P21212 space group, composed of a pyridine core flanked by two phenyl rings. Utilizing the three-dimensional Hirshfeld surface, the research decodes the molecule’s spatial attributes, further supported by exhaustive statistical assessments. Key interactions, such as π–π stacking and H···X contacts, are spotlighted
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Moly, Alexandre, Alexandre Aksenov, Félix Martel, and Tetiana Aksenova. "Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI." Frontiers in Human Neuroscience 17 (March 6, 2023). http://dx.doi.org/10.3389/fnhum.2023.1075666.

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IntroductionMotor Brain–Computer Interfaces (BCIs) create new communication pathways between the brain and external effectors for patients with severe motor impairments. Control of complex effectors such as robotic arms or exoskeletons is generally based on the real-time decoding of high-resolution neural signals. However, high-dimensional and noisy brain signals pose challenges, such as limitations in the generalization ability of the decoding model and increased computational demands.MethodsThe use of sparse decoders may offer a way to address these challenges. A sparsity-promoting penalizat
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Zaineb, Ben Messaoud, Gargouri Dorra, Zribi Saida, and Ben Hamida Ahmed. "Formant Tracking Linear Prediction Model using HMMs for Noisy Speech Processing." November 23, 2009. https://doi.org/10.5281/zenodo.1060325.

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This paper presents a formant-tracking linear prediction (FTLP) model for speech processing in noise. The main focus of this work is the detection of formant trajectory based on Hidden Markov Models (HMM), for improved formant estimation in noise. The approach proposed in this paper provides a systematic framework for modelling and utilization of a time- sequence of peaks which satisfies continuity constraints on parameter; the within peaks are modelled by the LP parameters. The formant tracking LP model estimation is composed of three stages: (1) a pre-cleaning multi-band spectral subtraction
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Liu, Xin, Jingyi Tian, Zhanxian Shang, et al. "Decoding spatial transcriptomics-based heterogeneity of TME in early-stage invasive pulmonary adenocarcinoma." Journal of Clinical Oncology 43, no. 16_suppl (2025). https://doi.org/10.1200/jco.2025.43.16_suppl.e20030.

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e20030 Background: Tumoral heterogeneity has been widely acknowledged to influence clinical outcome of lung adenocarcinoma (LUAD). This study investigated spatial gene profiling of different pathological subtypes of early-stage invasive LUAD with Stereo-seq transcriptomics technique. The tumor microenvironment (TME) was decoded with cellular and molecular events at perspectives of tumoral activities and immune activities. Methods: We collected spatial RNA profiles of nine Stereo-seq chips (captured area of 1 x1 cm) from 4 invasive LUAD patients. Pathologist identified histological subtypes inc
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Dissertations / Theses on the topic "LP decoder"

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Grouès, Lucien. "Decoding of LDPC quantum codes." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS413.

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Afin de pouvoir réaliser des calculs utiles grâce à des ordinateurs quantiques nous devons rendre l’information quantique plus robuste contre le bruit. Une approche prometteuse repose sur l’utilisation de code quantiques LDPC, qui nécessitent d’être associés à un décodeur. Dans cette thèse nous étudions le décodage de codes quantiques LDPC, et en particulier de codes produits d’hypergraphes, par diverse décodeurs. Nous commençons par étudier un décodeur focalisé sur les performances et obtenus en combinant deux décodeurs existants, BP et SSF. Nous montrons par des simulations que ses performan
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Book chapters on the topic "LP decoder"

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Yang, Liu, Boyu Wang, Jack C. P. Cheng, Peipei Liu, and Hoon Sohn. "Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.97.

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Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control hinders the development of DED towards zero defect manufacturing. In this study, a real-time geometry assessment methodology is developed for laser pow-der directed energy deposition (LP-DED). A geometry assessment system is developed using a laser line scanner capable of inspecting the melt pool ar
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Yang, Liu, Boyu Wang, Jack C. P. Cheng, Peipei Liu, and Hoon Sohn. "Real-Time Geometry Assessment Using Laser Line Scanner During Laser Powder Directed Energy Deposition Additive Manufacturing of SS316L Component with Sharp Feature." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.97.

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Directed energy deposition (DED) is a major metal additive manufacturing (AM) technology that is increasingly used in many industries due to its ability to manufacture complex components of arbitrary shapes and sizes. However, a lack of timely geometry assessment and the consequent geometry control hinders the development of DED towards zero defect manufacturing. In this study, a real-time geometry assessment methodology is developed for laser pow-der directed energy deposition (LP-DED). A geometry assessment system is developed using a laser line scanner capable of inspecting the melt pool ar
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Conference papers on the topic "LP decoder"

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Dimakis, Alexandros, and Martin Wainwright. "Guessing Facets: Polytope Structure and Improved LP Decoder." In 2006 IEEE International Symposium on Information Theory. IEEE, 2006. http://dx.doi.org/10.1109/isit.2006.262070.

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Liu, Xishuo, Stark C. Draper, and Benjamin Recht. "The l1 penalized decoder and its reweighted LP." In 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2012. http://dx.doi.org/10.1109/allerton.2012.6483408.

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Motozuka, Hiroyuki, Naoya Yosoku, Takenori Sakamoto, Takayuki Tsukizawa, Naganori Shirakata, and Koji Takinami. "A 6.16Gb/s 4.7pJ/bit/iteration LDPC decoder for IEEE 802.11ad standard in 40nm LP-CMOS." In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2015. http://dx.doi.org/10.1109/globalsip.2015.7418406.

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Heidarpour, M. R., M. Modarres-Hashemi, M. Khosravifard, and T. A. Gulliver. "Improving the Performance of LP Decoders for Cyclic Codes." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5305944.

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