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 ...

DIY DCC decoder for model railroad locomotives in an E24 form factor, powered by an RP2350 (Raspberry Pi Pico 2) - mikesmitty/rp24-dcc-decoder ...

Neuroscience: Neuroscience is the highly specialized degree that most appropriately earns the term "The Brain Decoder." It is typically undertaken at the Master's or Ph.D. level and frequently ...

COP Decoder is a powerful tool designed to decode and analyze Conference of the Parties (COP) documents, providing insights into climate change negotiations and agreements.

Background To address escalating opioid-related harm, an Australian evidence-based guideline for deprescribing opioids was recently published. However, the barriers and enablers to its implementation ...

This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...