Polarization correlation signal processing: Determination of the complete stokes vector

2004 ◽  
Author(s):  
Robert W. McMillan ◽  
E. Jeff Holder ◽  
Michael J. Dorsett ◽  
Thomas K. Hamilton ◽  
John H. Hennings
Keyword(s):  
Signal Processing ◽  
Stokes Vector ◽  
Correlation Signal Processing ◽  
Polarization Correlation

Determination of the parity of the 305 keV state of 48V by linear polarization correlation measurements

1968 ◽  
Vol 106 (3) ◽  
pp. 570-576 ◽  
Author(s):  
P. Weigt ◽  
P. Herzog ◽  
H. Hübel ◽  
E. Bodenstedt
Keyword(s):  
Linear Polarization ◽  
Polarization Correlation

scholarly journals A Generalized Method for Flat Plates Impact Detection and Location

2013 ◽  
Vol 543 ◽  
pp. 171-175
Author(s):  
Jose Andrés Somolinos ◽  
Rafael Morales ◽  
Carlos Morón ◽  
Alfonso Garcia
Keyword(s):  
Signal Processing ◽  
Flat Plate ◽  
Acoustic Signal ◽  
Experimental Results ◽  
Piezoelectric Sensors ◽  
Experimental Setup ◽  
Flat Plates ◽  
Impact Detection ◽  
Timing Difference

In the last years, many analyses from acoustic signal processing have been used for different applications. In most cases, these sensor systems are based on the determination of times of flight for signals from every transducer. This paper presents a flat plate generalization method for impact detection and location over linear links or bars-based structures. The use of three piezoelectric sensors allow to achieve the position and impact time while the use of additional sensors lets cover a larger area of detection and avoid wrong timing difference measurements. An experimental setup and some experimental results are briefly presented.

Determination of Hurst exponent by optical signal processing applied on surface roughness measurements

2009 ◽  
Author(s):  
José Antonio Marbán Salgado ◽  
Oscar Sarmiento Martínez ◽  
Darwin Mayorga Cruz ◽  
Jorge Uruchurtu Chavarín
Keyword(s):  
Surface Roughness ◽  
Signal Processing ◽  
Hurst Exponent ◽  
Optical Signal Processing ◽  
Optical Signal ◽  
Roughness Measurements

Analysis of Stall Precursors and Determination of Optimum Signal Processing Methods for an LM-2500 Gas Turbine

2008 ◽  
Author(s):  
Knox T. Millsaps ◽  
Gustave C. Dahl ◽  
Daniel E. Caguiat ◽  
Jeffrey S. Patterson
Keyword(s):  
Time Series ◽  
Signal Processing ◽  
Gas Turbine ◽  
Rotor Speed ◽  
Processing Methods ◽  
Turbine Engine ◽  
Pressure Signal ◽  
Time Series Analyses ◽  
Signal Processing Methods

This paper presents an analysis of data taken from several stall initiation events on a GE LM-2500 gas turbine engine. Specifically, the time series of three separate pressure signals located at compressor stages 3, 6, and 15 were analyzed utilizing various signal processing methods to determine the most reliable indicator of incipient stall for this engine. The spectral analyses performed showed that rotating precursor waves traveling around the annulus at approximately half of the rotor speed were the best indicators. Non-linear chaotic time series analyses were also used to predict stall, but it was not as reliable an indicator. Several algorithms were used and it was determined that stall wave perturbations can be reliably identified about 900 revolutions prior to the stall. This work indicates that a single pressure signal located at stage 3 on an LM-2500 gas turbine is sufficient to provide advance warning of more than 2 seconds prior to the fully developed stall event.

Time Determination of BGO-APD Detectors by Digital Signal Processing for Positron Emission Tomography

2009 ◽  
Vol 56 (5) ◽  
pp. 2600-2606 ◽  
Author(s):  
Jean-Daniel Leroux ◽  
Jean-Pierre Martin ◽  
Daniel Rouleau ◽  
Catherine M. Pepin ◽  
Jules Cadorette ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Emission Tomography ◽  
Positron Emission ◽  
Time Determination
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