Noisy and messy data comes via many sources – from severe transient mechanical impact and pyroshock … to challenging material measurement characterizations … to other sources! Such data can be generated by physical testing and/or numerical simulations like linear and nonlinear FEA, especially Explicit Dynamics simulations. If noisy data is not properly collected and processed, inaccurate results are often the outcome. However, if proper procedures are used based on the rules of DSP (Digital Signal Processing) amazingly accurate results can be achieved!
The training is software independent (you are taught concepts, not how to push a particular software’s buttons). The training is applicable to those working with physical test data and/or transient simulations. The training is taught in the language of Mechanical Engineering and provides a fundamental understanding of DSP theory and its application to the field of nonlinear structural mechanics.
You sign-up for only the specific modules in the Series that you need. Click on any of the modules listed below for more details.
Tip: If you are new to analyzing noisy data, are unsure about sampling and the dangers of aliasing, do not fully understand spectrum analysis and/or digital filtering, then the 1st module DSP Essentials will get you onto solid ground. Beyond this fundamental class, select additional modules based on your needs and interest.
