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POMĚNKOVÁ, J.; KLEJMOVÁ, E.
Original Title
Optimization of time-frequency curve description via kernel smoothing
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
kernel smoothing, spectrogram
Key words in English
Authors
RIV year
2017
Released
25.05.2016
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 {Dluhá} 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" }