Results 31 to 40 of about 292,790 (291)
DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework
MathematicsCurrent language models have achieved remarkable success in NLP tasks. Nonetheless, individual decoding methods face difficulties in realizing the immense potential of these models.
Elias Lemuye Jimale +5 more
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Research on encoding and decoding of non-binary polar codes over GF(2m)
Digital Communications and Networks, 2022 Binary Polar Codes (BPCs) have advantages of high-efficiency and capacity-achieving but suffer from large latency due to the Successive-Cancellation List (SCL) decoding.
Shufeng Li +4 more
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Parallelization of Sphere-Decoding Methods [PDF]
, 2008 Sphere-Decoding (SD) methods are branch-and-bound-like techniques used for optimal detection of digital communications signals over in wireless MIMO (Multiple input Multiple Output) channels. These methods look for the optimal solution in a tree of partial solutions; the size of the tree depends on the parameters of the problem (dimension of the ...
Victor M. Garcia +3 more
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Empirical comparison of deep learning methods for EEG decoding
Frontiers in Neuroscience, 2023 Electroencephalography (EEG) is a technique that can be used in non-invasive brain-machine interface (BMI) systems to register brain electrical activity.
Iago Henrique de Oliveira +1 more
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Methods for decoding cortical gradients of functional connectivity
Imaging Neuroscience, 2023 Abstract Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end and transmodal regions associated with the default mode ...
Julio A. Peraza +17 more
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An efficient length- and rate-preserving concatenation of polar and repetition codes
, 2013 We improve the method in \cite{Seidl:10} for increasing the finite-lengh performance of polar codes by protecting specific, less reliable symbols with simple outer repetition codes.
Huber, Johannes B., Seidl, Mathis
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Reed-Solomon list decoding from a system-theoretic perspective [PDF]
, 2004 In this paper, the Sudan-Guruswami approach to list decoding of Reed-Solomon (RS) codes is cast in a system-theoretic framework. With the data, a set of trajectories or time series is associated which is then modeled as a so-called behavior. In this way,
Kuijper, Margreta, Polderman, Jan Willem
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Reduced complexity hard‐ and soft‐input BCH decoding with applications in concatenated codes
IET Circuits, Devices and Systems, 2021 Error correction coding for optical communication and storage requires high rate codes that enable high data throughput and low residual errors. Recently, different concatenated coding schemes were proposed that are based on binary BCH codes with low ...
Jürgen Freudenberger +2 more
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eLife, 2022 Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson’s disease (PD), first bidirectional BCI implants for adaptive deep brain stimulation (DBS) are now available.
Timon Merk +8 more
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Interior Point Decoding for Linear Vector Channels
, 2008 In this paper, a novel decoding algorithm for low-density parity-check (LDPC) codes based on convex optimization is presented. The decoding algorithm, called interior point decoding, is designed for linear vector channels.
Boyd S +6 more
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