Intro to Digital Signal Processing (DSP) for the Structural Dynamics Practitioner by Ryan Schultz, May 28, 2024
Intro to Digital Signal Processing (DSP) for the Structural Dynamics Practitioner
Ryan Schultz
Research and Development Engineer, Sandia National Laboratories
May 28, 2024
Abstract:
Often, in structural dynamics modeling, testing, or analysis, dynamic data is collected and used to understand system behavior or environmental characteristics. This data, in its raw form (e.g., time histories), is not immediately useful. Digital signal processing allows the raw data to be converted into useful quantities of interest, like power spectral densities or frequency response functions, which provide a clearer picture of the dynamic characteristics of the system or environment. This talk provides a brief introduction to digital signal processing, focused on concepts and methods often used by the structural dynamics practitioner.
Biography:
Ryan Schultz is a research and development engineer in the Environments Engineering department at Sandia National Laboratories. His interests include multiple-input/multiple-output testing and analysis, vibroacoustics, structural dynamics, and inverse problems.