Analytic Spectral Integration of Birefringence‐Induced Iridescence

2019 ◽  
Vol 38 (4) ◽  
pp. 97-110 ◽  
Author(s):  
S. Steinberg
Keyword(s):  
Spectral Integration

Tone-in-Noise Detection: Observed Discrepancies in Spectral Integration

2010 ◽  
pp. 133-141
Author(s):  
Nicolas Le Goff ◽  
Armin Kohlrausch ◽  
Jeroen Breebaart ◽  
Steven van de Par
Keyword(s):  
Noise Detection ◽  
Spectral Integration

scholarly journals Spectral integration in vowel perception: Matching and discrimination studies

1992 ◽  
Vol 92 (4) ◽  
pp. 2414-2414
Author(s):  
Keith Johnson ◽  
Marisa Fernandez ◽  
Michael Henninger ◽  
Jim Sandstrum
Keyword(s):  
Vowel Perception ◽  
Spectral Integration

scholarly journals Fractional spectral integral methods for valuing cryptocurrency asset flow fractional differential equations.

2021 ◽  
Author(s):  
Claude Moutsinga ◽  
Edson Pindza ◽  
Eben Mare
Keyword(s):  
Differential Equation ◽  
Numerical Simulations ◽  
Fractional Differential Equations ◽  
Emerging Market ◽  
Three Dimensional ◽  
Operator Approach ◽  
Integral Methods ◽  
Spectral Integration ◽  
Spectral Integral ◽  
Fractional Differential

Since its inception in 2009, the cryptocurrency market has grown considerably. Several authors have proposed models to explain the price movements of assets in this new emerging market. However, only few researches have been done using the dynamical approach. This paper proposes a robust time fractional spectral method for studying a three dimensional fractional differential equation that models cryptocurrency asset flow obtained by utilizing the concept of liquidity price. The method relies on fractional spectral integration matrix operator approach. Numerical simulations are conducted to show efficiency of the numerical method on the fractional cryptocurrency model compared to existing methods.

scholarly journals Auditory Responses in the Cochlear Nucleus of Awake Mustached Bats: Precursors to Spectral Integration in the Auditory Midbrain

2006 ◽  
Vol 95 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Robert A. Marsh ◽  
Kiran Nataraj ◽  
Donald Gans ◽  
Christine V. Portfors ◽  
Jeffrey J. Wenstrup
Keyword(s):  
Cochlear Nucleus ◽  
Auditory Midbrain ◽  
Spectral Integration ◽  
Auditory Responses

scholarly journals Detection of Leak-Induced Pipeline Vibrations Using Fiber—Optic Distributed Acoustic Sensing

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2841 ◽  
Author(s):  
Pavol Stajanca ◽  
Sebastian Chruscicki ◽  
Tobias Homann ◽  
Stefan Seifert ◽  
Dirk Schmidt ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Broadband Noise ◽  
Gas Pipeline ◽  
Accelerometer Data ◽  
Acoustic Sensing ◽  
System Sensitivity ◽  
Spectral Integration ◽  
Detection Approach ◽  
Distributed Acoustic Sensing ◽  
Pipeline Vibration

In the presented work, the potential of fiber-optic distributed acoustic sensing (DAS) for detection of small gas pipeline leaks (<1%) is investigated. Helical wrapping of the sensing fiber directly around the pipeline is used to increase the system sensitivity for detection of weak leak-induced vibrations. DAS measurements are supplemented with reference accelerometer data to facilitate analysis and interpretation of recorded vibration signals. The results reveal that a DAS system using direct fiber application approach is capable of detecting pipeline natural vibrations excited by the broadband noise generated by the leaking medium. In the performed experiment, pipeline vibration modes with acceleration magnitudes down to single μg were detected. Simple leak detection approach based on spectral integration of time-averaged DAS signals in frequency domain was proposed. Potential benefits and limitations of the presented monitoring approach were discussed with respect to its practical applicability. We demonstrated that the approached is potentially capable of detection and localization of gas pipeline leaks with leak rates down to 0.1% of the pipeline flow volume and might be of interest for monitoring of short- and medium-length gas pipelines.

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