Publication detail

Optimization of time-frequency curve description via kernel smoothing

POMĚNKOVÁ, J. KLEJMOVÁ, E.

Original Title

Optimization of time-frequency curve description via kernel smoothing

Type

conference paper

Language

English

Original Abstract

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.

Keywords

kernel smoothing, spectrogram

Authors

POMĚNKOVÁ, J.; KLEJMOVÁ, E.

Released

25. 5. 2016

Location

Bratislava

ISBN

978-1-4673-9554-0

Book

Proceedings of the 23rd International Conference on Systems, Signals and Image Processing

Pages from

283

Pages to

286

Pages count

4

URL

https://ieeexplore.ieee.org/document/7502757

BibTex

@inproceedings{BUT127617,
  author="Jitka {Poměnková} and Eva {Klejmová}",
  title="Optimization of time-frequency curve description via kernel smoothing",
  booktitle="Proceedings of the 23rd International Conference on Systems, Signals and Image Processing",
  year="2016",
  pages="283--286",
  address="Bratislava",
  doi="10.1109/IWSSIP.2016.7502757",
  isbn="978-1-4673-9554-0",
  url="https://ieeexplore.ieee.org/document/7502757"
}