Description

• Adds a version of ConingScullingAlg that includes calibration of raw measurements including scaling, misalignment and bias errors. A naive, sample by sample correction yields matrix-vector multiplications for each high frequent step. This version roughly halves the number of matrix-vector multiplications, as indicated in the test.
• Simplifies the ConingScullingAlg API slightly, removing dtheta and dvel methods

Checklist

• PR title is descriptive and fit for injection into release notes (see tips below).
• Correct label(s) are used.

PR title tips:

• Use imperative mood.
• Describe the motivation for change, issue that has been solved or what has been improved - not how.
• Examples:
  • Add functionality for Allan variance to smsfusion.simulate
  • Upgrade to support Python 3.10
  • Remove MacOS from CI