Cleaning and analyzing real-world sensor data with MATLAB


Sensor data provides valuable insight into how products and systems perform in the real-world.  However, this data often contains artifacts that make it challenging to analyze, such as missing data, outliers, noisy data, and non-uniform sampling rates.  These challenges can be compounded by a large amount of data from multiple data loggers, tests, systems, etc. 

Watch this webinar to learn about new MATLAB features for working with sensor data, including:

  • MATLAB datatypes for working with time series sensor data
  • Working with large collections of telemetry data (big data)
  • Detecting and handling outliers, using preprocessing functions and Live Tasks
  • Smoothing and filtering noisy data, including spectral analysis with the Signal Analyzer app
  • Documenting analyses with the MATLAB Live Editor

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand. 

Product Focus

This live webinar has ended. You can now view the on-demand webinar.

See on-demand webinars