Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10368744 | Mechanical Systems and Signal Processing | 2017 | 10 Pages |
Abstract
In this paper, a theory-based model replicating empirical acoustic resonant signals is presented and studied to understand sources of noise present in acoustic signals. Statistical properties of empirical signals are quantified and a noise amplitude parameter, which models frequency and amplitude-based noise, is created, defined, and presented. This theory-driven model isolates each phenomenon and allows for parameters to be independently studied. Using seven independent degrees of freedom, this model will accurately reproduce qualitative and quantitative properties measured from laboratory data. Results are presented and demonstrate success in replicating qualitative and quantitative properties of experimental data.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Patrick Thomas Weber, David Edwin Walrath,