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 ...
The Washington Post

TikTok’s mental health ‘rabbit hole’? It’s not in your head.

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...
The Verge

Spotify’s Prompted Playlists use AI to control your algorithm

With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...
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 ...