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Wyszukujesz frazę "Chen, Bing" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Normal Mode Solutions of Target Strengths of Solid-filled Spherical Shells and Discussion of Influence Parameters
Autorzy:
Jia, Bing
Fan, Jun
Li, Gui-Juan
Wang, Bin
Chen, Yun-Fei
Powiązania:
https://bibliotekanauki.pl/articles/31339751.pdf
Data publikacji:
2024
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
solid-filled spherical shell
room temperature vulcanized silicone rubber
target strength enhancement
Opis:
The normal mode solution for the form function and target strength (TS) of a solid-filled spherical shell is derived. The calculation results of the spherical shell’s acoustic TS are in good agreement with the results of the finite element method (FEM). Based on these normal mode solutions, the influences of parameters such as the material, radius, and thickness of the inner and outer shells on the TS of a solid-filled spherical shell are analyzed. An underwater spherical shell scatterer is designed, which uses room temperature vulcanized (RTV) silicone rubber as a solid filling material and does not contain a suspension structure inside. The scatterer has a good TS enhancement effect.
Źródło:
Archives of Acoustics; 2024, 49, 1; 83-93
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of Moving Average and Differential Operation for Wheeze Detection in Spectrograms
Autorzy:
Hsueh, Meng-Lun
Chen, Jin-Peng
Lu, Bing-Yuh
Wu, Huey-Dong
Liu, Pei-Yi
Powiązania:
https://bibliotekanauki.pl/articles/31340111.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
differential operation
moving average
signal
lung sound
wheeze
Opis:
A moving average (MA) is a commonly used noise reduction method in signal processing. Several studies on wheeze auscultation have used MA analysis for preprocessing. The present study compared the performance of MA analysis with that of differential operation (DO) by observing the produced spectrograms. These signal preprocessing methods are not only applicable to wheeze signals but also to signals produced by systems such as machines, cars, and flows. Accordingly, this comparison is relevant in various fields. The results revealed that DO increased the signal power intensity of episodes in the spectrograms by more than 10 dB in terms of the signal-to-noise ratio (SNR). A mathematical analysis of relevant equations demonstrated that DO could identify high-frequency episodes in an input signal. Compared with a two-dimensional Laplacian operation, the DO method is easier to implement and could be used in other studies on acoustic signal processing. DO achieved high performance not only in denoising but also in enhancing wheeze signal features. The spectrograms revealed episodes at the fourth or even fifth harmonics; thus, DO can identify high-frequency episodes. In conclusion, MA reduces noise and DO enhances episodes in the high-frequency range; combining these methods enables efficient signal preprocessing for spectrograms.
Źródło:
Archives of Acoustics; 2022, 47, 3; 383-388
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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