Results 291 to 300 of about 1,103,393 (348)

Efficient Compression of Mass Spectrometry Images via Contrastive Learning-Based Encoding. [PDF]

Anal Chem
Radziński P, Skrajny J, Moczulski M, Ciach MA, Valkenborg D, Balluff B, Gambin A.   +6 more
europepmc   +1 more source

Performance analysis of iterative decoding algorithms for PEG LDPC codes in Nakagami fading channels

, 2013
Rasheed Omran Al, Dajana M. Radović, Predrag Ivaniš   +2 more
openalex   +1 more source

An interactive segmentation-based method for seismic facies annotation and segmentation. [PDF]

Sci Rep
Tian S, Tang Y, Deng F, Luo W, Wang B, Yang S.   +5 more
europepmc   +1 more source

Exploiting correlations across trials and behavioral sessions to improve neural decoding. [PDF]

Neuron
Zhang Y, Lyu H, Hurwitz C, Wang S, Findling C, Wang Y, Hubert F, International Brain Laboratory, Pouget A, Varol E, Paninski L.   +10 more
europepmc   +1 more source

Robust Beamforming Design for Energy Efficiency and Spectral Efficiency Tradeoff in Multi-STAR-RIS-Aided C-HRSMA. [PDF]

Sensors (Basel)
Teng S, Lin X, Wang Y.
europepmc   +1 more source

Iterative decoding of space-time-frequency block coded mimo concatenated with LDPH codes

, 2013
P.R. Botha
openalex   +1 more source

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Soft-Output (SO) GRAND and Iterative Decoding to Outperform LDPC Codes

IEEE Transactions on Wireless Communications, 2023
We establish that a large, flexible class of long, high redundancy error correcting codes can be efficiently and accurately decoded with guessing random additive noise decoding (GRAND). Performance evaluation demonstrates that it is possible to construct
Peihong Yuan, Muriel Médard, Kevin Galligan, K. Duffy   +3 more
semanticscholar   +1 more source

Iterative List Detection and Decoding for Massive Machine-Type Communications

IEEE Transactions on Communications, 2020
The main challenge of massive machine-type communications (mMTC) is the joint activity and signal detection of devices. The mMTC scenario with many devices transmitting data intermittently at low data rates and via very short packets enables its ...
Roberto B. Di Renna, R. D. de Lamare
semanticscholar   +1 more source

Zero-Error Tracking Control Under Unified Quantized Iterative Learning Framework via Encoding–Decoding Method

IEEE Transactions on Cybernetics, 2020
This article considers the zero-error tracking problem of quantized iterative learning control for a general networked structure where the data are quantized and transmitted through limited communication channels at both measurement and actuator sides ...
D. Shen, Chao Zhang
semanticscholar   +1 more source