Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
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 ...
The esp-idf-panic-decoder is a Python-based, open-source package that is part of the ESP-IDF SDK for Espressif products. The main part is a script that parses ESP-IDF panic handler output (registers & ...
Abstract: In this letter, a model-driven deep learning (DL) decoder for irregular binary low-density parity-check (LDPC) codes is proposed via the alternating direction method of multipliers (ADMM) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results