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 ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

hello, and thank you for the efforts made on the new code, but please also implement tetra decoding, I left some links with some source codes for ideas, and thank you once again ...

This tutorial demonstrates how to implement the Self-Refine technique using Large Language Models (LLMs) with Mirascope, a powerful framework for building structured prompt workflows. Self-Refine is a ...

MCP-Use is an open-source library that lets you connect any LLM to any MCP server, giving your agents tool access like web browsing, file operations, and more — all without relying on closed-source ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

I want to implement a sar binary file decoder which converts sar binary into json format with sadf command. After that, it is converted into csv and passed to the csv parser. It requires the entire ...

Abstract: Low Density Parity Check (LDPC) Codes offer remarkable error correction performance and therefore increase the design space for communication systems. When ...