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CAS IR Grid
机构
长春光学精密机械与物... [2]
遥感与数字地球研究所 [1]
中国科学院大学 [1]
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OAI收割 [3]
iSwitch采集 [1]
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会议论文 [3]
期刊论文 [1]
发表日期
2009 [2]
2006 [2]
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A high-speed acquisition and processing system of the laser speckle signal on the magnetic fluid (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, June 17, 2009 - June 19, 2009, Beijing, China
作者:
Sun Y.
;
Sun Y.
;
Wan Q.-H.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
In order to achieve the dynamical detection and real-time analysis of the movement status of the magnetic fluid
according to the difficulties of the detection of the magnetic fluid
established a high-speed acquisition and processing system of laser speckle signal on the magnetic fluid. First of all
the FPGA (EP2C8T144C8N) drived the linear array CCD(TCD1501D) to scan in the corresponding time sequence given by the computer
collected the laser speckle interferometric image in rapid change on the surface of the magnetic fluid
which followed the movement of the magnetic fluid
and the signal collected by CCD was converted into the digital data through the high-speed A/D convertor and stored into the internal buffer FIFO of the FPGA
whose width and depth were designed by the user as required. Then
the FPGA sent the digital signal of the laser speckle interferometric images into the computer through the USB2.0 highspeed differential bus
whose transmission rate can reach 480Mb/s in theory. Finally
the distribution of the laser speckle on the magnetic fluid was messy and random
which carried certain information about the surface of the magnetic fluid
based on the theories of the statistic correlation and the subdivision of images
analysing and processing the laser speckle interferometric images
indirectly got the movement status of the magnetic fluid under the electromagnetic field. The experimental results show that: the High Speed Acquisition and Processing System has the advantage of full-court
non-contact
non-invasive
high-precision and high reliability and so on. The detection resolution of high speed acquisition and processing system is superior to 1m and the sample rate is 3Msps
which basically meets the requirements of the magnetic fluid movement state detection. 2009 SPIE.
A PDE-based noise suppression method of contaminated remote sensing images generated by increasing CCD integration time
会议论文
OAI收割
2009 International Conference on Information Engineering and Computer Science, ICIECS 2009,, Wuhan, China, December 19, 2009 - December 20,2009
Wu
;
Chi, Yaobin
;
Wang, Zhiyong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2014/12/07
Edge detection
Aircraft engines
Compression ratio (machinery)
Computer science
Diffusion
Digital cameras
Feature extraction
Gaussian noise (electronic)
Image compression
Image reconstruction
Optical anisotropy
Partial differential equations
Remote sensing
Signal to noise ratio
Sub-attomole oligonucleotide and p53 cdna determinations via a high-resolution surface plasmon resonance combined with oligonucleotide-capped gold nanoparticle signal amplification
期刊论文
iSwitch采集
Analytical biochemistry, 2006, 卷号: 354, 期号: 2, 页码: 220-228
作者:
Yao, Xin
;
Li, Xin
;
Toledo, Freddy
;
Zurita-Lopez, Cecilia
;
Gutova, Margarita
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2019/05/10
Dna analysis
Surface plasmon resonance
Differential signal detection
Dna-capped gold nanoparticles
Carboxylated dextran
Arc fault signatures detection on aircraft wiring system (EI CONFERENCE)
会议论文
OAI收割
6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China
Hongkun Z.
;
Tao C.
;
Wenjun L.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
In this paper an arc fault detection method Is proposed based on characteristics of the fault current of an electric arc. A localized signal processing method Is developed using wavelet analysis to decompose the differential current signal Into a series of wavelet components
each of which Is a time-domain signal that covers a specific frequency band. Thus
more distinctive signal features that represent arc faults and other fault transient phenomena are extracted. As a result
by quantifying the extracted features
an arc faults are distinguished from phenomena similar to arc and other fault transients using the differences In the quantified features. Simulation studies have demonstrated that the proposed method Is reliable and simple. 2006 IEEE.