This project presents a comprehensive tutorial on Convolutional Neural Networks (CNNs), combining theoretical understanding with practical implementation. The focus of this tutorial is to demonstrate ...

Master Claude Code in 2026 with this complete guide to built-in sub-agents, operator patterns, and headless mode for ...

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Claude code skills are an effective way to automate repetitive workflows, combining structured logic with adaptive AI-driven processes. As Jannis Moore explains, these skills are built around two core ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Abstract: Convolutional code synchronization and scrambling recognition in underwater acoustic communication is commonly based on the product characteristics of dual ...

Abstract: Non-binary convolutional codes (NBCCs) offer significant performance advantages in modern communication systems, but their optimal decoding using classical maximum a posteriori probability ...