Results 31 to 40 of about 1,103,393 (348)

Iterative Decoding of Concatenated Codes: A Tutorial

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
The turbo decoding algorithm of a decade ago constituted a milestone in error-correction coding for digital communications, and has inspired extensions to generalized receiver topologies, including turbo equalization, turbo synchronization, and turbo ...
Phillip A. Regalia
doaj   +1 more source

Decoding Schemes for FBMC with Single-Delay STTC

open access: yesEURASIP Journal on Advances in Signal Processing, 2010
Orthogonally multiplexed Quadrature Amplitude Modulation (OQAM) with Filter-Bank-based MultiCarrier modulation (FBMC) is a multicarrier modulation scheme that can be considered an alternative to the conventional orthogonal frequency division multiplexing
Chrislin Lélé   +1 more
doaj   +2 more sources

Approximate MIMO Iterative Processing with Adjustable Complexity Requirements [PDF]

open access: yes, 2011
Targeting always the best achievable bit error rate (BER) performance in iterative receivers operating over multiple-input multiple-output (MIMO) channels may result in significant waste of resources, especially when the achievable BER is orders of ...
Gerd Ascheid   +2 more
core   +1 more source

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Many visual scenes contain text that carries crucial information, and it is thus essential to understand text in images for downstream reasoning tasks. For example, a deep water label on a warning sign warns people about the danger in the scene.
Ronghang Hu   +3 more
semanticscholar   +1 more source

Iterative Equalization and Decoding over an Additive White Gaussian Noise Channel with ISI Using Low-Density Parity-Check Codes

open access: yesApplied Sciences, 2023
In this article we present an iterative system of equalization and decoding to manage the intersymbol interference over an additive white Gaussian noise (AWGN) channel.
Adriana-Maria Cuc   +3 more
doaj   +1 more source

Noncoherent iterative (turbo) decoding [PDF]

open access: yesIEEE Transactions on Communications, 2000
Previously, noncoherent sequence detection schemes for coded linear and continuous phase modulations have been proposed, which deliver hard decisions by means of a Viterbi algorithm. The current trend in digital transmission systems toward iterative decoding algorithms motivates an extension of these schemes.
COLAVOLPE, Giulio   +2 more
openaire   +2 more sources

Decoding and reprogramming fungal iterative nonribosomal peptide synthetases

open access: yesNature Communications, 2017
Nonribosomal peptide synthetases (NRPSs) assemble a large group of structurally and functionally diverse natural products. While the iterative catalytic mechanism of bacterial NRPSs is known, it remains unclear how fungal NRPSs create products of desired
Dayu Yu   +3 more
semanticscholar   +1 more source

Finite alphabet iterative decoders for LDPC codes surpassing floating-point iterative decoders [PDF]

open access: yesElectronics Letters, 2011
Introduced is a new type of message-passing (MP) decoders for low-density parity-check (LDPC) codes over the binary symmetric channel. Unlike traditional belief propagation (BP) based MP algorithms which propagate probabilities or log-likelihoods, the new MP decoders propagate messages requiring only a finite number of bits for their representation in ...
Planjery, Shiva   +3 more
openaire   +2 more sources

Binary Message Passing Decoding of Product Codes Based on Generalized Minimum Distance Decoding [PDF]

open access: yes, 2019
We propose a binary message passing decoding algorithm for product codes based on generalized minimum distance decoding (GMDD) of the component codes, where the last stage of the GMDD makes a decision based on the Hamming distance metric.
Amat, Alexandre Graell i   +2 more
core   +3 more sources

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

open access: yesConference on Empirical Methods in Natural Language Processing, 2019
Most machine translation systems generate text autoregressively from left to right. We, instead, use a masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially ...
Marjan Ghazvininejad   +3 more
semanticscholar   +1 more source

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