Detail publikace

Optimization of time-frequency curve description via kernel smoothing

Originální název

Optimization of time-frequency curve description via kernel smoothing

Anglický název

Optimization of time-frequency curve description via kernel smoothing

Jazyk

en

Originální abstrakt

Presented paper deals with trend modeling of spectral coefficients represents material properties at very rapid load. We focus on identification and optimization of the curve describing dependence between frequencies and time in spectrogram. The spectrogram is firstly processed with the aim to specify significant spectral coefficients. Consequently for such coefficient we apply non-parametric kernel smoothing. We investigate the type of estimator, kernel and the bandwidth. Input data are given from aluminum metal plate acceleration by detonation products of brisant high explosive obtained using Photonic Doppler Velocimetry in time on the basis of frequency response.

Anglický abstrakt

Presented paper deals with trend modeling of spectral coefficients represents material properties at very rapid load. We focus on identification and optimization of the curve describing dependence between frequencies and time in spectrogram. The spectrogram is firstly processed with the aim to specify significant spectral coefficients. Consequently for such coefficient we apply non-parametric kernel smoothing. We investigate the type of estimator, kernel and the bandwidth. Input data are given from aluminum metal plate acceleration by detonation products of brisant high explosive obtained using Photonic Doppler Velocimetry in time on the basis of frequency response.

BibTex


@inproceedings{BUT127617,
  author="Jitka {Poměnková} and Eva {Klejmová}",
  title="Optimization of time-frequency curve description via kernel smoothing",
  annote="Presented paper deals with trend modeling of spectral coefficients represents material properties at very rapid load. We focus on identification and optimization of the curve describing dependence between frequencies and time in spectrogram. The spectrogram is firstly processed with the aim to specify significant spectral coefficients. Consequently for such coefficient we apply non-parametric kernel smoothing. We investigate the type of estimator, kernel and the bandwidth. Input data are given from aluminum metal plate acceleration by detonation products of brisant high explosive obtained using Photonic Doppler Velocimetry in time on the basis of frequency response.",
  booktitle="Proceedings of the 23rd International Conference on Systems, Signals and Image Processing",
  chapter="127617",
  doi="10.1109/IWSSIP.2016.7502757",
  howpublished="print",
  year="2016",
  month="may",
  pages="283--286",
  type="conference paper"
}