Post date: May 23, 2018 3:7:54 PM
Liam Comerford will give a talk entitled "Power spectrum estimation of stochastic processes from bounded and gappy sensor data" on 25 May 2018 in the Risk Institute Seminar Room.
Sensors used to capture time-history data will never provide perfect digital reconstructions of the processes they originally recorded. At best, a sensor will have an ideal working tolerance and defined accuracy bounds, and at worst will fail, leaving gaps in the data. When estimating power spectra from these data, it is important to consider the effect that such uncertainties could have on the output model. In this talk, some common missing data reconstruction techniques and their shortfalls will be presented in the context of power spectrum estimation, as well as methods to quantify power spectrum uncertainties under incomplete data.