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 ...
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: Polarization-adjusted convolutional (PAC) codes enhance polar codes by introducing a rate-1 convolutional pre-transformation. The performance of both polar codes and PAC codes relies on the ...
Abstract: Non-binary convolutional codes (NBCCs) offer significant performance advantages in modern communication systems, but their optimal decoding using classical maximum a posteriori probability ...
A tool that converts working code into step-by-step lessons with explanations, warm-ups, vocabulary, checks for understanding, extension prompts, and runnable examples. Supports multiple programming ...
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