Results 101 to 110 of about 183,434 (340)

The Geometry of Layer 2/3 Cortical Sound Processing in Slow Wave Sleep

open access: yesAdvanced Science, EarlyView.
Sleep is associated with a sensory disconnection whose mechanisms remain elusive. Large neuronal population recordings in the auditory cortex revealed that, in NREM sleep, the neural code for sounds is highly similar to wakefulness, but coordinated modulations of neuron responsiveness intermittently disconnect the local cortical networks from sensory ...
Allan Muller   +3 more
wiley   +1 more source

On the error statistics of Viterbi decoding and the performance of concatenated codes [PDF]

open access: yes
Computer simulation results are presented on the performance of convolutional codes of constraint lengths 7 and 10 concatenated with the (255, 223) Reed-Solomon code (a proposed NASA standard).
Butman, S. A.   +2 more
core   +1 more source

Approximate MAP Decoding on Tail-Biting Trellises

open access: yes, 2005
We propose two approximate algorithms for MAP decoding on tail-biting trellises. The algorithms work on a subset of nodes of the tail-biting trellis, judiciously selected.
Madhu, A. S., Shankar, Priti
core   +3 more sources

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

On the arranging data transmission channel of an underwater navigation system with fast fading channel conditions

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2015
The construction of hydroacoustic signal for object positioning in a fast fading aquatic environment is considered. The relevant data coding options of underwater signal are proposed.
D. S. Borovitskiy, V. P. Ipatov
doaj  

An Over-the-Air Multi-User Convolutional Code for URLLC

open access: yesIEEE Open Journal of the Communications Society
URLLC applications impose stringent latency and reliability requirements, making its compliance challenging due to the inherent trade-off between them. These applications typically involve the exchange of small information blocks. Convolutional codes (CC)
Rafael Santos   +3 more
doaj   +1 more source

Feedback equivalence of convolutional codes over finite rings

open access: yesOpen Mathematics, 2017
The approach to convolutional codes from the linear systems point of view provides us with effective tools in order to construct convolutional codes with adequate properties that let us use them in many applications.
DeCastro-García Noemí
doaj   +1 more source

Near‐Field Acoustic Imaging Using Fiber‐Optic Distributed Acoustic Sensing and Beamforming Techniques

open access: yesAdvanced Science, EarlyView.
This work introduces a beamforming‐based method to generate acoustic images from fiber‐optic distributed acoustic sensing (DAS) data. By performing 2D scanning around the sensing fiber, the approach enables near‐field imaging and localization of acoustic sources, even in regions distant from the fiber. A data‐driven DAS channel selection improves image
Marcelo A. Soto   +1 more
wiley   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

open access: yesAdvanced Science, EarlyView.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang   +4 more
wiley   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

open access: yesAdvanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou   +3 more
wiley   +1 more source

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