Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...

Telemetry systems — such as satellite downlinks, UAV communication, or remote sensing — rely on error-correcting codes to ensure data reliability over noisy channels. Encoder convenc.v Implements rate ...

A clean and modular C implementation of Non-Systematic Convolutional (NSC) Codes with both soft-decision (LLR) and hard-decision Viterbi decoding. Includes a branchless trellis-driven encoder/decoder ...

Abstract: Semantic segmentation is an essential task in computer vision that aims to label each image pixel. Several of the actual best approaches in this context are based on deep neural networks.

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...

Abstract: According to the results we obtained, we can state that although the Huffman method fully performs the lossless compression task, quality measurements decrease depending on the synthetic ...