scholarly journals Low power laser generated ultrasound: Signal processing for time domain data acquisition

2011 ◽  
Vol 278 ◽  
pp. 012036
Author(s):  
A Cleary ◽  
I Veres ◽  
G Thursby ◽  
C McKee ◽  
I Armstrong ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Stephan Rinner ◽  
Alberto Trentino ◽  
Heike Url ◽  
Florian Burger ◽  
Julian von Lautz ◽  
...  

AbstractCellular micromotion—a tiny movement of cell membranes on the nm-µm scale—has been proposed as a pathway for inter-cellular signal transduction and as a label-free proxy signal to neural activity. Here we harness several recent approaches of signal processing to detect such micromotion in video recordings of unlabeled cells. Our survey includes spectral filtering of the video signal, matched filtering, as well as 1D and 3D convolutional neural networks acting on pixel-wise time-domain data and a whole recording respectively.


2013 ◽  
Vol 552 ◽  
pp. 384-388
Author(s):  
Lei Zhang ◽  
Da Zhao Zhu ◽  
Zhi Yong An

According to current situation of testing beam divergence angle of low power laser indicator, this paper is designed to develop a testing system for beam divergence angle of low power laser indicator based on virtual instrument. A sport utility is used in this system - data acquisition card for the displacement data acquisition and motion control and a video card for images acquisition. The use of labview graphical programming language to develop host computer program including Man-machine Interface and functional code, realizes Data acquisition, process, display, storage and motion control; ensures the system accurate and efficient.


1999 ◽  
Author(s):  
Ronald J. Blake ◽  
Adam B. Revell ◽  
Donald F. Shepard ◽  
Reed M. Nielsen ◽  
Mark R. Baugh ◽  
...  

2018 ◽  
Vol 12 (7-8) ◽  
pp. 76-83
Author(s):  
E. V. KARSHAKOV ◽  
J. MOILANEN

Тhe advantage of combine processing of frequency domain and time domain data provided by the EQUATOR system is discussed. The heliborne complex has a towed transmitter, and, raised above it on the same cable a towed receiver. The excitation signal contains both pulsed and harmonic components. In fact, there are two independent transmitters operate in the system: one of them is a normal pulsed domain transmitter, with a half-sinusoidal pulse and a small "cut" on the falling edge, and the other one is a classical frequency domain transmitter at several specially selected frequencies. The received signal is first processed to a direct Fourier transform with high Q-factor detection at all significant frequencies. After that, in the spectral region, operations of converting the spectra of two sounding signals to a single spectrum of an ideal transmitter are performed. Than we do an inverse Fourier transform and return to the time domain. The detection of spectral components is done at a frequency band of several Hz, the receiver has the ability to perfectly suppress all sorts of extra-band noise. The detection bandwidth is several dozen times less the frequency interval between the harmonics, it turns out thatto achieve the same measurement quality of ground response without using out-of-band suppression you need several dozen times higher moment of airborne transmitting system. The data obtained from the model of a homogeneous half-space, a two-layered model, and a model of a horizontally layered medium is considered. A time-domain data makes it easier to detect a conductor in a relative insulator at greater depths. The data in the frequency domain gives more detailed information about subsurface. These conclusions are illustrated by the example of processing the survey data of the Republic of Rwanda in 2017. The simultaneous inversion of data in frequency domain and time domain can significantly improve the quality of interpretation.


2021 ◽  
Vol 27 ◽  
pp. 101085
Author(s):  
Fathia Abd Elwahid Mannaa ◽  
Khaled Gamal El-Deen Abdel-Wahhab ◽  
Eitedal Mahmoud Daoud ◽  
Aliaa Abdel Rahman El Gendy ◽  
Maha Mohamed Saber ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3976
Author(s):  
Sun Jin Kim ◽  
Myeong-Lok Seol ◽  
Byun-Young Chung ◽  
Dae-Sic Jang ◽  
Jonghwan Kim ◽  
...  

Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.


1992 ◽  
Vol 25 (2) ◽  
pp. 77-81 ◽  
Author(s):  
Michael Wilson ◽  
John Dobson ◽  
Wilson Harvey

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