Filter data with confidence to remove high frequency noise or low frequency drifting.Perform spectrum analysis to interpret frequency content via DFS (so-called FFT) and other approaches.Learn all about the evils of aliasing and how to collect digital data properly, avoiding aliasing.The concepts taught in the training are applicable to data derived from BOTH physical testing and simulation models. The module covers the key aspects of DPS (Digital Signal Processing) fundamentals, explained with terminology and examples applicable to Mechanical Engineers working in the field of linear and nonlinear structural mechanics, or similar. This training module is the foundational class of the training series Analyzing Noisy Data From Physical Tests & Transient FEA.
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