Algorithm realization of median filter in multiple environments testing conditions for low-level-light sight devices measurement system

2007 ◽  
Author(s):  
Youtang Gao ◽  
Si Tian ◽  
Benkang Chang ◽  
Yafeng Qiu ◽  
Jianliang Qiao
2009 ◽  
Author(s):  
Youtang Gao ◽  
Si Tian ◽  
Jianliang Qiao ◽  
Jun Niu ◽  
Benkang Chang

Instruments ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 16 ◽  
Author(s):  
Ram Narayanan ◽  
Kyle Gallagher ◽  
Gregory Mazzaro ◽  
Anthony Martone ◽  
Kelly Sherbondy

Radio frequency (RF) circuit elements that are traditionally considered to be linear frequently exhibit nonlinear properties that affect the intended operation of many other RF systems. Devices such as RF connectors, antennas, attenuators, resistors, and dissimilar metal junctions generate nonlinear distortion that degrades primary RF system performance. The communications industry is greatly affected by these unintended and unexpected nonlinear distortions. The high transmit power and tight channel spacing of the communication channel makes communications very susceptible to nonlinear distortion. To minimize nonlinear distortion in RF systems, specialized circuits are required to measure the low level nonlinear distortions created from traditionally linear devices, i.e., connectors, cables, antennas, etc. Measuring the low-level nonlinear distortion is a difficult problem. The measurement system requires the use of high power probe signals and the capability to measure very weak nonlinear distortions. Measuring the weak nonlinear distortion becomes increasingly difficult in the presence of higher power probe signals, as the high power probe signal generates distortion products in the measurement system. This paper describes a circuit design architecture that achieves 175 dB of dynamic range which can be used to measure low level harmonic distortion from various passive RF circuit elements.


Author(s):  
Isao KUMABE ◽  
Norihiko KOORI ◽  
Yasuhiro MATSUKI ◽  
Masayasu SUGISAKI ◽  
Takenori ICHIGI

2006 ◽  
Vol 53 (4) ◽  
pp. 2276-2280 ◽  
Author(s):  
T. Kawaguchi ◽  
K. Futagami ◽  
M. Matoba ◽  
G. Wakabayashi ◽  
N. Ikeda ◽  
...  

2002 ◽  
Vol 124 (4) ◽  
pp. 471-477 ◽  
Author(s):  
S. M. Chung ◽  
S. H. Teoh ◽  
K. T. Tsai ◽  
K. K. Sin

This paper reports on the design and development of a multi-axis (up to 6 axes) mechanical tester for spinal research and testing. The developed spine tester allowed true motion to be simulated on a specimen in pure or combined modes. To demonstrate the capability of the new tester, flexural stiffness properties of sheep lumbar motion segments were evaluated together with a non-contact speckle displacement measurement system. The flexural stiffness of the specimens was measured and compared under constrained and non-constrained testing conditions; with relieving of shear forces (non-constrained), it was found that the specimen behaved in a ‘stiffer’ manner.


Radiocarbon ◽  
1974 ◽  
Vol 16 (2) ◽  
pp. 178-191 ◽  
Author(s):  
R L Otlet ◽  
B S Slade
Keyword(s):  

The Low-level Measurements Laboratory at AERE, Harwell was set up some years ago principally to measure natural levels of tritium in water for hydrologic applications. The measurement of 14C in groundwater carbonates was a logical development from this work. In the period 1971–73 the measurement system has been extended to include archaeologic samples and this is the first list of dates for samples submitted during that period.


2019 ◽  
Vol 14 (07) ◽  
pp. P07019-P07019 ◽  
Author(s):  
J. Wu ◽  
Z. Chen ◽  
H. Wang ◽  
Z. Chen ◽  
J. Li ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Élcio Jeronimo de Oliveira ◽  
Ijar Milagre da Fonseca ◽  
Hélio Koiti Kuga

The aim of this paper is to present a fault detection algorithm (FDI) based on signal processing techniques developed for an inertial measurement unit (IMU) with minimal redundancy of fiber optic gyros. In this work the recursive median filter is applied in order to remove impulses (outliers) arising from data acquisition process and parity vector operations, improving the fault detection and isolation performance. The FDI algorithm is divided into two blocks: fault detection (FD) and fault isolation (FI). The FD part of the algorithm is used to guarantee the reliability of the isolation part and is based on parity vector analysis using -CUSUM algorithm. The FI part is performed using parity space projection of the energy subbands obtained from wavelet packet decomposition. This projection is an extension of clustering analysis based on singular value decomposition (SVD) and principal component analysis (PCA). The results of the FD and FI algorithms have shown the effectiveness of the proposed method, in which the FD algorithm is capable of indicating the low-level step bias fault with short delay and a high index of correct decisions of the FI algorithm also with low-level step bias fault.


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