IEEE

Derivation of Mutual Information and Linear Minimum Mean-Square Error for Viterbi Decoding of Convolutional Codes Using the Innovations Method

Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
IEEE

Integrating Viterbi-Like Algorithms with Neural Networks for Resynchronizing Permutation Codes

Abstract: Permutation codes are extensively studied because of applications such as frequency-shift keying modulation for power line communication (PLC). In PLC ...
GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Code Understanding

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
GitHub

Inverse-Covariance Weighted Index for Python

What is the ICW Index? Tl;DR: The ICW index is a weighted average of variables where the weights are determined by the inverse of the covariance matrix of the variables. Anderson (2008) proposed an ...
Forbes

30 Under 30 Social Media 2026: Beyond The Algorithm, These Creators Are Making Millions—And Real World Impact

From education and advocacy to entrepreneurship and culture, the creators on the Forbes 30 Under 30 Social Media list are redefining what it means to influence. Across platforms, Gen Z creators are ...