Results 91 to 100 of about 409 (184)

Successive Refinement for Lossy Compression of Individual Sequences. [PDF]

Entropy (Basel)
Merhav N.
europepmc   +1 more source

Connecting the dots: deep learning-based automated model building methods in cryo-EM. [PDF]

Front Mol Biosci
Bansia H, des Georges A.
europepmc   +1 more source

A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. [PDF]

Proc ACM Manag Data, 2023
Ahuja R, Zeighami S, Ghinita G, Shahabi C.   +3 more
europepmc   +1 more source

RTL implementation of Viterbi Decoder

, 2006
A forward error correction technique known as convolutional coding with Viterbi decoding was explored in this final thesis. This Viterbi project is part of the baseband Error control project at electrical engineering department, Linköping University. In this project, the basic Viterbi decoder behavior model was built and simulated.
openaire   +1 more source

A History of Channel Coding in Aeronautical Mobile Telemetry and Deep-Space Telemetry. [PDF]

Entropy (Basel)
Rice M.
europepmc   +1 more source

Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation. [PDF]

Sensors (Basel)
Rosenbaum T, Winebrand E, Cohen O, Cohen I.   +3 more
europepmc   +1 more source

Viterbi decoding considering synchronization errors

Viterbi decoding considering synchronization errors
Viterbi decoding is known as a decoding scheme that can realize maximum likelihood decoding. However, it is impossible to continue it without re-synchronization even if only an insertion/deletion error occurs in a channel. In this paper, we show that Levenshtein distance is suitable for the metric of Viterbi decoding in a channel where not only symbol ...
openaire  

A boundary enhanced multi-task neural attention approach for Chinese named entity recognition. [PDF]

Sci Rep
Pan J, Xiao M, Li M, Hu F.
europepmc   +1 more source

Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences. [PDF]

STAR Protoc
Zhang D, Wang Z, Qian Y, Zhao Z, Liu Y, Lu J, Li Y.   +6 more
europepmc   +1 more source

Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography. [PDF]

Eur J Radiol Artif Intell
Pawan SJ, Rich JM, Malewar S, Patel D, Muellner M, Hwang D, Lei X, Cen S, Triche T, Goldkorn A, Mohamed P, Oberai A, Duddalwar V.   +12 more
europepmc   +1 more source