Personal computer flexible multichannel interface for data acquisition of low-frequency signals

1988 ◽  
Vol 37 (4) ◽  
pp. 510-514 ◽  
Author(s):  
A.M. Elabdalla ◽  
A.I. Abu-El-Haija
Keyword(s):  
Data Acquisition ◽  
Personal Computer ◽  
Low Frequency

Development of a Low Frequency Electric Field Probe Integrating Data Acquisition and Storage

2020 ◽  
Vol E103.C (8) ◽  
pp. 345-352
Author(s):  
Zhongyuan ZHOU ◽  
Mingjie SHENG ◽  
Peng LI ◽  
Peng HU ◽  
Qi ZHOU
Keyword(s):  
Electric Field ◽  
Data Acquisition ◽  
Low Frequency ◽  
Frequency Electric Field ◽  
Electric Field Probe ◽  
And Storage

Development of a Micro-PIXE Camera

1998 ◽  
Vol 08 (02n03) ◽  
pp. 203-208 ◽  
Author(s):  
S. MATSUYAMA ◽  
K. ISHII ◽  
A. SUGIMOTO ◽  
T. SATOH ◽  
K. GOTOH ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Elemental Analysis ◽  
Data Acquisition System ◽  
Atomic Energy ◽  
Energy Research ◽  
Pixe Analysis ◽  
System A ◽  
Ion Accelerator

We developed a system of μ-PIXE analysis at the division of Takasaki ion accelerator for advanced radiation application (TIARA) in Japan Atomic Energy Research Institute (JAERI), which consists of a microbeam apparatus, a multi-parameter data acquisition system and a personal computer. Elemental analysis in the region of 500 μ m × 500 μ m can be performed with a spatial resolution of < 0.3 μm and multi-elemental distributions are presented as images on a computer display even during measurement. We call this system a micro-PIXE camera.

Data Acquisition and Processing of Weak Low-Frequency Magnetic Signals

2011 ◽  
Vol 65 ◽  
pp. 299-302 ◽  
Author(s):  
Shou Qiang Men ◽  
Christian Resagk
Keyword(s):  
Magnetic Field ◽  
Data Acquisition ◽  
Fourier Transforms ◽  
Low Frequency ◽  
Fast Fourier Transforms ◽  
Two Dimensional ◽  
Calibration System ◽  
Magnetic Field Sensors ◽  
Data Acquisition And Processing

A simple calibration system for magnetic field sensors was designed, and experiments were carried out to calibrate two-dimensional fluxgate sensors and a sensor ring composed of eight fluxgate sensors. Fast Fourier Transforms and trapezoidal numerical integrals were applied to deal with the raw signals. It is found that it is not suitable to apply fast Fourier Transforms only to deal with signals with several peaks close to each other, but trapezoidal numerical integrals should also be used in combination with the FFT method.

Flow cytometry signal processing and data acquisition with a personal computer using an RTI‐800 multifunction A/D I/O board

1993 ◽  
Vol 64 (11) ◽  
pp. 3116-3120 ◽  
Author(s):  
Tom C. Bakker Schut ◽  
Alex Florians ◽  
Kees O. van der Werf ◽  
Bart G. de Grooth
Keyword(s):  
Flow Cytometry ◽  
Signal Processing ◽  
Data Acquisition ◽  
Personal Computer

scholarly journals Computer simulation of low‐frequency electromagnetic data acquisition

Geophysics ◽  
1983 ◽  
Vol 48 (9) ◽  
pp. 1219-1232 ◽  
Author(s):  
William A. San Filipo ◽  
Gerald W. Hohmann
Keyword(s):  
Computer Simulation ◽  
Data Acquisition ◽  
Dynamic Range ◽  
Low Frequency ◽  
Noise Removal ◽  
Digital Data ◽  
Low Frequencies ◽  
Pass Filter ◽  
Natural Field ◽  
Field Noise

Computer simulation of low‐frequency electromagnetic (EM) digital data acquisition in the presence of natural field noise demonstrates several important limitations and considerations. Without a remote reference noise removal scheme, it is difficult to obtain an adequate ratio of signal to noise below 0.1 Hz for frequency‐domain processing and below 0.3 Hz base frequency for time‐domain processing for a typical source‐receiver configuration. A digital high‐pass filter substantially facilitates rejection of natural field noise above these frequencies; however, at lower frequencies where much longer stacking times are required, it becomes ineffective. Use of a remote reference to subtract natural field noise extends these low‐frequency limits by one decade, but the remote reference technique is limited by the resolution and dynamic range of the instrumentation. Gathering data in short segments so that natural field drift can be offset for each segment allows a higher gain setting to minimize dynamic range problems. The analysis is also applicable to the induced polarization technique in which similar problems arise at low frequencies in the presence of telluric noise.

Wireless impedance device for electromechanical impedance sensing and low-frequency vibration data acquisition

2009 ◽  
Author(s):  
Stuart G. Taylor ◽  
Kevin M. Farinholt ◽  
Gyuhae Park ◽  
Charles R. Farrar ◽  
Eric B. Flynn ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Low Frequency ◽  
Impedance Sensing ◽  
Electromechanical Impedance ◽  
Vibration Data ◽  
Low Frequency Vibration
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