Results 11 to 20 of about 153,200 (241)
Viterbi decoding strategies for 5 GHz wireless LAN systems [PDF]
, 2001 Standards for the operation of wireless local area network (WLAN) technology in the 5 GHz band have been developed in Europe, North America and Japan. These systems employ orthogonal frequency division multiplexing (OFDM) technology, and utilize forward ...
Armour, SMD +4 more
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Improving Brain–Machine Interface Performance by Decoding Intended Future Movements [PDF]
, 2013 Objective. A brain–machine interface (BMI) records neural signals in real time from a subject\u27s brain, interprets them as motor commands, and reroutes them to a device such as a robotic arm, so as to restore lost motor function.
Fagg, Andrew H. +3 more
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Frontiers in Computational Neuroscience, 2022 A crucial point in neuroscience is how to correctly decode cognitive information from brain dynamics for motion control and neural rehabilitation.
Haitao Yu +5 more
doaj +1 more source
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting [PDF]
, 2020 Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting.
Autthasan, Phairot +8 more
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Social-sparsity brain decoders: faster spatial sparsity [PDF]
, 2016 Spatially-sparse predictors are good models for brain decoding: they give accurate predictions and their weight maps are interpretable as they focus on a small number of regions.
Kowalski, Matthieu +2 more
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REAL-TIME ONE-PASS DECODING WITH RECURRENT NEURAL NETWORK LANGUAGE MODEL FOR SPEECH RECOGNITION [PDF]
, 2014 This paper proposes an efficient one-pass decoding method for realtime speech recognition employing a recurrent neural network language model (RNNLM).
Atsushi Nakamura +2 more
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Frontiers in Neuroscience, 2022 ObjectiveMulti-frequency steady-state visual evoked potential (SSVEP) stimulation and decoding methods enable the representation of a large number of visual targets in brain-computer interfaces (BCIs).
Jing Mu +6 more
doaj +1 more source
How major depressive disorder affects the ability to decode multimodal dynamic emotional stimuli [PDF]
, 2016 Most studies investigating the processing of emotions in depressed patients reported impairments in the decoding of negative emotions. However, these studies adopted static stimuli (mostly stereotypical facial expressions corresponding to basic emotions)
Esposito, Anna +4 more
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A Convolutional Encoder Model for Neural Machine Translation
, 2017 The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence. In this paper we present a faster and simpler architecture based on a succession of convolutional layers.
Auli, Michael +3 more
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Statistical framework for video decoding complexity modeling and prediction [PDF]
, 2009 Video decoding complexity modeling and prediction is an increasingly important issue for efficient resource utilization in a variety of applications, including task scheduling, receiver-driven complexity shaping, and adaptive dynamic voltage scaling.
Andreopoulos, Y +2 more
core +1 more source