Entropy | Selected Papers from 2021 “Editor’s Choice Articles” in the Section “Signal and Data Analysis”

It is our pleasure to invite you to read the selected papers from the “Editor’s Choice Articles” in 2021. The papers from the Section “Signal and Data Analysis” are listed below:

• “Deep Task-Based Quantization”
  by Shlezinger, N. et al.
  Entropy 2021, 23(1), 104; https://doi.org/10.3390/e23010104
  Available online: http://www.mdpi.com/1099-4300/23/1/104

• “Phase Transitions in Transfer Learning for High-Dimensional Perceptrons”
  by Dhifallah, O. et al.
  Entropy 2021, 23(4), 400; https://doi.org/10.3390/e23040400
  Available online: http://www.mdpi.com/1099-4300/23/4/400

• “Novel Features for Binary Time Series Based on Branch Length Similarity Entropy”
  by Lee, S.-H. et al.
  Entropy 2021, 23(4), 480; https://doi.org/10.3390/e23040480
  Available online: http://www.mdpi.com/1099-4300/23/4/480

• “Field Theoretical Approach for Signal Detection in Nearly Continuous Positive Spectra II: Tensorial Data”
  by Lahoche, V. et al.
  Entropy 2021, 23(7), 795; https://doi.org/10.3390/e23070795
  Available online: http://www.mdpi.com/1099-4300/23/7/795  

We would like to take this opportunity to thank all the research groups that submitted these exceptional papers for their contributions to Entropy (ISSN: 1099-4300). We would greatly appreciate it if you could circulate this document among your colleagues or through your network.

If you would like to learn more about the contributions published in the “Editor’s Choice Articles”, please click on the following link: https://www.mdpi.com/journal/entropy/editors_choice.