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Found 3 papers, 1 papers with code
Companding and Predistortion Techniques for Improved Efficiency and Performance in SWIPT
By taking advantage of the benefits of each of these well-known techniques to mitigate non-linear effects due to power amplifier (PA) and energy harvesting (EH) operation, we illustrate how DPD and companding can be effectively combined to improve the EH efficiency while keeping unalterable the information transfer performance.
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks
On-line handwriting recognition is unusual among sequence labelling tasks in that the underlying generator of the observed data, i. e. the movement of the pen, is recorded directly.
Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data.
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