"Multiscale Average Absolute Difference (MSAAD): A Computationally ..."

Jamison H. Burks et al. (2025)

> Home

Details and statistics

DOI: 10.3390/A18090577

access: open

type: Journal Article

metadata version: 2025-11-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/algorithms/BurksHDMS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/algorithms/BurksHDMS25
Jamison H. Burks, Wendy Hartogensis, Stephan Dilchert, Ashley E. Mason, Benjamin L. Smarr:
Multiscale Average Absolute Difference (MSAAD): A Computationally Efficient and Nonparametric Adaptation of Line Length for Noisy, Uncontrolled Wearables Time Series. Algorithms 18(9): 577 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.