The fetch-decode-execute cycle is followed by a processor to process an instruction. The cycle consists of several stages. Depending on the type of instruction, additional steps may be taken: If the ...
Abstract: We introduce a high-throughput reconfigurable forward error correction (FEC) decoder capable of decoding BCH, RS, and open FEC (oFEC) codes. With a ...
Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...
Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Please generate ".txt" files for train data and test data separately. In the ".txt" file, each line consists of the path of image and mask corresponding to the image ...
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