Open AccessSelection of the vehicle speed waveforms filtering method
Author(s) -
P. Wiśniowski,
M. Ślęzak,
Andrzej Niewczas,
Tomasz Szczepański
Publication year - 2017
Publication title -
autobusy
Language(s) - English
Resource type - Journals
eISSN - 2450-7725
pISSN - 1509-5878
DOI - 10.24136/atest.2017.034
Subject(s) - waveform , computer science , filter (signal processing) , signal (programming language) , selection (genetic algorithm) , interpretation (philosophy) , function (biology) , signal processing , algorithm , artificial intelligence , telecommunications , computer vision , digital signal processing , computer hardware , radar , evolutionary biology , biology , programming language
The vehicle speed waveforms is an example of the function that is relatively difficult to filter. In this case the filtering method must be characterized not only by specific properties of the frequency spectrum. It must also meet other conditions that will be discussed in more detali in this article. In the case of wrong selection of filtering algorithm it often turns out that the processed waveform contains signal distortions witch make it impossible to correct physical interpretation of given signal. The article compares two popular filtering methods with their basic modifications, discusses their advantages and disadvantages and shows their practical application for registered waveforms vehicle speed. It aIso evaluates which solution can be more useful during the development of research results that covering the course of vehicle speed.