FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...
A Python implementation of a simple SentencePiece encoder that reads a model file based on the SentencePiece model protobuf definition and encodes a given string using the model's vocabulary with the ...
This repository contains a production-ready Python implementation for decoding and visualizing binary data generated by the fictional Atrisense 360 lidar sensor. Numerical validation by reconstructing ...
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