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Relevant bibliographies by topics / Cross-correlation analysis

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Academic literature on the topic 'Cross-correlation analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 May 2022

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Journal articles on the topic "Cross-correlation analysis"

1

NAKAJIMA, Yoshio, and Saburo HOMMA. "Cross-correlation analysis of neuronal activities." Japanese Journal of Physiology 37, no. 6 (1987): 967–77. http://dx.doi.org/10.2170/jjphysiol.37.967.

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Zu, Chen, and Daoqiang Zhang. "Canonical sparse cross-view correlation analysis." Neurocomputing 191 (May 2016): 263–72. http://dx.doi.org/10.1016/j.neucom.2016.01.053.

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Hohreiter, V., S. T. Wereley, M. G. Olsen, and J. N. Chung. "Cross-correlation analysis for temperature measurement." Measurement Science and Technology 13, no. 7 (June 20, 2002): 1072–78. http://dx.doi.org/10.1088/0957-0233/13/7/314.

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Wang, Jun, and Da-Qing Zhao. "Detrended cross-correlation analysis of electroencephalogram." Chinese Physics B 21, no. 2 (February 2012): 028703. http://dx.doi.org/10.1088/1674-1056/21/2/028703.

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Xi, Caiping, Shuning Zhang, Gang Xiong, Huichang Zhao, and Yonghong Yang. "Two-dimensional multifractal cross-correlation analysis." Chaos, Solitons & Fractals 96 (March 2017): 59–69. http://dx.doi.org/10.1016/j.chaos.2017.01.004.

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Zucker, S. "Cross-correlation and maximum-likelihood analysis: a new approach to combining cross-correlation functions." Monthly Notices of the Royal Astronomical Society 342, no. 4 (July 11, 2003): 1291–98. http://dx.doi.org/10.1046/j.1365-8711.2003.06633.x.

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Alloway, K. D., and S. A. Roy. "Conditional cross-correlation analysis of thalamocortical neurotransmission." Behavioural Brain Research 135, no. 1-2 (September 2002): 191–96. http://dx.doi.org/10.1016/s0166-4328(02)00165-1.

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Beck, S. B. M., N. J. Williamson, N. D. Sims, and R. Stanway. "Pipeline system identification through cross-correlation analysis." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 216, no. 3 (August 1, 2002): 133–42. http://dx.doi.org/10.1243/095440802320225275.

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The pipeline systems used to carry liquids and gases for the ventilation of buildings, water distributions networks, and the oil and chemical industries are usually monitored by a multiplicity of pressure, flow, and valve position sensors. By comparing the input signal to a valve with the pressure reading from the network using cross-correlation analysis, the technique described in this paper enables a single sensor to be used for monitoring. Specifically, the offset and gradient change of the cross-correlation function show the time delay between the input wave and the acquired output signal.

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Munshi, Dipak, Alan Heavens, Asantha Cooray, and Patrick Valageas. "Secondary non-Gaussianity and cross-correlation analysis." Monthly Notices of the Royal Astronomical Society 414, no. 4 (June 2, 2011): 3173–97. http://dx.doi.org/10.1111/j.1365-2966.2011.18616.x.

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Clarke, Burton R., and Ryan P. Allgaier. "Cross correlation diagnostics tool for vibration analysis." Journal of the Acoustical Society of America 122, no. 5 (2007): 2509. http://dx.doi.org/10.1121/1.2801817.

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Dissertations / Theses on the topic "Cross-correlation analysis"

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Hotchkiss, Alastair Jeremy. "Generalised cross correlation functions for physical applications." Thesis, University of Exeter, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262492.

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Yamaguchi, David K. "Interpretation of Cross Correlation Between Tree-Ring Series." Tree-Ring Society, 1986. http://hdl.handle.net/10150/261724.

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Kacher, Josh. "Cross-correlation-based texture analysis using kinematically simulated EBSD patterns /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2994.pdf.

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Kacher, Joshua Peter. "Cross-Correlation-Based Texture Analysis Using Kinematically Simulated EBSD Patterns." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1746.

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The development and example applications of a new EBSD-based texture analysis system are presented. This new system uses the cross-correlation function to compare two EBSD patterns at a number of corresponding regions in each pattern to calculate the deformation gradient tensor. Bragg's Law-based simulated EBSD patterns are used as reference patterns in the cross-correlation method to enable the measurements of absolute elastic strain and lattice orientation at discrete points in a crystalline sample. The resolution limits of this new method are explored using a variety of computational and ph

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Scott, Virginia Anne. "Exercise and depression causal sequence using cross-lagged panel correlation analysis /." College Park, Md. : University of Maryland, 2009. http://hdl.handle.net/1903/9982.

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Thesis (M.A.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Kinesiology. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Gilbert, Ross. "Evaluation of FFT Based Cross-Correlation Algorithms for Particle Image Velocimetry." Thesis, University of Waterloo, 2002. http://hdl.handle.net/10012/911.

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In the current study, the four most common Particle Image Velocimetry (PIV) cross-correlation algorithms were evaluated by measuring the displacement of particles in computer generated images. The synthetic images were employed to compare the methods since the particle diameter, density, and intensity could be controlled, removing some of the uncertainty found in images collected during experiments, e. g. parallax, 3-D motion, etc. The most important parameter that was controlled in the synthetic images was the particle motion. Six different displacement functions were applied to m

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Vuran, Mehmet Can. "Correlation-based Cross-layer Communication in Wireless Sensor Networks." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16135.

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Wireless sensor networks (WSN) are event based systems that rely on the collective effort of densely deployed sensor nodes continuously observing a physical phenomenon. The spatio-temporal correlation between the sensor observations and the cross-layer design advantages are significant and unique to the design of WSN. Due to the high density in the network topology, sensor observations are highly correlated in the space domain. Furthermore, the nature of the energy-radiating physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. This uni

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Lebel, Cynthia. "Optical Brain Imaging of Motor Cortex to Decode Movement Direction using Cross-Correlation Analysis." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609111/.

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The goal of this study is to determine the intentional movement direction based on the neural signals recorded from the motor cortex using optical brain imaging techniques. Towards this goal, we developed a cross-correlation analysis technique to determine the movement direction from the hemodynamic signals recorded from the motor cortex. Healthy human subjects were asked to perform a two-dimensional hand movement in two orthogonal directions while the hemodynamic signals were recorded from the motor cortex simultaneously with the movements. The movement directions were correlated with the

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Miller, Carlton W. "Optimization of model analysis and cross-orthogonality techniques to insure finite element model correlation to test data /." Online version of thesis, 1993. http://hdl.handle.net/1850/12216.

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Kirk, D., Y. Omori, A. Benoit-Lévy, R. Cawthon, C. Chang, P. Larsen, A. Amara, et al. "Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing." OXFORD UNIV PRESS, 2016. http://hdl.handle.net/10150/614994.

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We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will be correlated if the lensing is caused by the same mass fluctuations. We use galaxy shape measurements from 139 deg(2) of the Dark Energy Survey (DES) Science Verification data and overlapping CMB lensing from the South Pole Telescope (SPT) and Planck. The DES source galaxies have a median redshift of z(med) similar to 0.7, while the CMB lensing kernel is broad and peaks at z similar to 2. The resulting cross-correla

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Books on the topic "Cross-correlation analysis"

1

Pakko, Michael R. A spectral analysis of the cross-country consumption correlation puzzle. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2003.

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Bulach, Marcia Woolf. Canonical Auto And Cross Correlations Of Multivariate Time Series. USA: Dissertation.com, 1999.

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King, Wayne M. Multitaper spectral estimation and time-domain cross-correlation in FMRI data analysis: Actual and simulated data. 1999.

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Rahat, Gideon, and Ofer Kenig. A Cross-National Analysis of Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0009.

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The chapter presents an integrated cross-national analysis of political personalization in all our twenty-six countries. The two indicators of personalization online stand apart in terms of the incidents of depersonalization. An examination of the relationship between the three dimensions finds personalization especially in the institutional realm. In the other two dimensions, media and behavior, most cases are of personalization, but many indicate no trend or depersonalization. A comparison by country illustrates that, except for the cases of extreme personalization in Italy and Israel and a

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Tran, Thanh V., Tam Nguyen, and Keith Chan. Assessing and Testing Cross-Cultural Measurement Equivalence. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.003.0004.

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A cross-cultural comparison can be misleading for two reasons: (1) comparison is made using different attributes and (2) comparison is made using different scale units. This chapter illustrates multiple statistical approaches to evaluating the cross-cultural equivalence of the research instruments: data distribution of the items of the research instrument, the patterns of responses of each item, the corrected item–total correlation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis using the parallel test and tau-equivalence test. Equivalence is th

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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R

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United States. National Aeronautics and Space Administration., ed. Reduction and analysis of seasons 15 and 16 (1991-1992), Pioneer Venus radio occultation data and correlative studies with observations of the near infra-red emission of Venus: Report to the National Aeronautics and Space Administration, Ames Research Center for grant NCC2-753, April 1, 1992 through May 31, 1995. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Halperin, Sandra, and Oliver Heath. 16. Patterns of Association. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0016.

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This chapter discusses the principles of bivariate analysis as a tool for helping researchers get to know their data and identify patterns of association between two variables. Bivariate analysis offers a way of establishing whether or not there is a relationship between two variables, a dependent variable and an independent variable. With bivariate analysis, theoretical expectations can be compared against evidence from the real world to see if the theory is supported by what is observed. The chapter examines the pattern of association between dependent and independent variables, with particu

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Rahat, Gideon, and Ofer Kenig. Party Change and Political Personalization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198808008.003.0011.

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The chapter presents an empirical cross-national analysis of the relationship between the two processes of party change and political personalization. It demonstrates that there is indeed a moderate negative correlation between partyness and personalization when we focus on what happens off-line in the more veteran democracies. It also explains why, in some cases, partyness and personalization will not be in zero-sum relationships. It then turns to the question of the causal direction of this relationship: does party decline cause personalization, or is it the other way round? While it makes s

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Pitt, Matthew. Techniques used to test the neuromuscular junction in children. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754596.003.0009.

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The tests used to measure the neuromuscular junction function in children are repetitive nerve stimulation (RNS) and single-fibre electromyography (SFEMG). The physiological changes which explain abnormalities in RNS are covered in this chapter as are those affecting jitter measurement when measured by SFEMG. Practical considerations of how to perform RNS in children are discussed, along with the reasons for using SFEMG in preference to RNS and the need to use stimulation techniques. Controversies concerning so-called stimulated SFEMG including needle selection, filter settings, and the origin

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Book chapters on the topic "Cross-correlation analysis"

1

Schwille, Petra. "Cross-correlation analysis in FCS." In Springer Series in Chemical Physics, 360–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59542-4_17.

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Liu, Yingxiang, Xiaomei Tang, Rui Ge, and Feixue Wang. "Analysis for Cross Correlation in Multiplexing." In Lecture Notes in Electrical Engineering, 81–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37404-3_8.

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Sánchez, Ricardo M., Rudolf Mester, and Mikhail Kudryashev. "Fast Cross Correlation for Limited Angle Tomographic Data." In Image Analysis, 415–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_34.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Asymmetric DCCA Cross-Correlation Coefficient." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 129–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_7.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Multifractal Detrended Cross-Correlation Analysis (MF-DCCA)." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 49–78. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_4.

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Xing, Shanshan, Bin Wang, Xiaopeng Wei, Changjun Zhou, Qiang Zhang, and Zhonglong Zheng. "RNA Sequences Similarities Analysis by Cross-Correlation Function." In Communications in Computer and Information Science, 83–94. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2829-9_9.

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Keane, Richard D., and Ronald J. Adrian. "Theory of cross-correlation analysis of PIV images." In Fluid Mechanics and Its Applications, 1–25. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2690-8_1.

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Braasch, Jonas. "Convolution, Fourier Analysis, Cross-Correlation and Their Interrelationship." In Springer Handbook of Systematic Musicology, 273–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55004-5_14.

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Xia, X. Y., Z. G. Deng, and Y. Z. Liu. "Cross-Correlation Analysis of Galaxies with Different Luminosity." In Large Scale Structures of the Universe, 554. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2995-1_108.

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Cao, Guangxi, Ling-Yun He, and Jie Cao. "Asymmetric Multifractal Detrended Cross-Correlation Analysis (MF-ADCCA)." In Multifractal Detrended Analysis Method and Its Application in Financial Markets, 113–27. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7916-0_6.

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Conference papers on the topic "Cross-correlation analysis"

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Song Yan, Lingjiang Kong, Xiaobo Yang, and Yongshun Zhou. "Life detection based on cross-correlation analysis." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159807.

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Blake, A. "A Bayesian theory of multi-scale cross-correlation in images." In IEE Colloquium on Motion Analysis and Tracking. IEE, 1999. http://dx.doi.org/10.1049/ic:19990571.

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Louis Ferdinand Boesday and Yoyon K. Suprapto. "Polyphonic signal analysis using Cross-correlation on sasando." In 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). IEEE, 2015. http://dx.doi.org/10.1109/icici-bme.2015.7401340.

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"Cross-correlation Network Analysis Work in Stock Market." In 2018 5th International Conference on Electrical & Electronics Engineering and Computer Science. Francis Academic Press, 2018. http://dx.doi.org/10.25236/iceeecs.2018.037.

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Cheng, Chih-Ming, Yu-Fen Chang, and Chien-ming Wu. "Cross-correlation analysis for live-cell image trajectory." In ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, edited by Min Gu, Xiaocong Yuan, and Min Qiu. SPIE, 2013. http://dx.doi.org/10.1117/12.2034840.

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Halabi, R., M. O. Diab, B. Moslem, M. Khalil, and C. Marque. "Cross-correlation analysis of multichannel uterine EMG signals." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346621.

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Phillips, Peter, and Ickjai Lee. "Multivarite Areal Aggregated Crime Analysis through Cross Correlation." In 2008 International Workshop on Geoscience and Remote Sensing (ETT and GRS). IEEE, 2008. http://dx.doi.org/10.1109/ettandgrs.2008.210.

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Sun, Jingliang, and Huanye Sheng. "Multifractal Detrended Cross-Correlation Analysis of Chinese Stocks." In 2010 3rd International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2010. http://dx.doi.org/10.1109/bife.2010.77.

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Ma, Ding, Xiaohua Zhai, and Yuxin Peng. "Cross-media retrieval by cluster-based correlation analysis." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738821.

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Baseer, Irum, and Rabeea Basir. "Cross gender voice morphing using Canonical Correlation Analysis." In 2017 International Conference on Communication, Computing and Digital Systems (C-CODE). IEEE, 2017. http://dx.doi.org/10.1109/c-code.2017.7918947.

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Reports on the topic "Cross-correlation analysis"

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Pakko, Michael R. A Spectral Analysis of the Cross-Country Consumption Correlation Puzzle. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.023.

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Hessler, J. P., and P. J. Ogren. Correlation analysis of optical absorption cross section and rate coefficient measurements in reacting systems. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10159230.

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French, Roger, Jennifer L. Braid, and JiQi Liu. Module Level Exposure and Evaluation Test (MLEET) for Real- world and Laboratory-based PV Modules: Common Data and Analytics for Quantitative Cross-correlation and Validation. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1529093.

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Upadhyaya, Shrini K., Abraham Shaviv, Abraham Katzir, Itzhak Shmulevich, and David S. Slaughter. Development of A Real-Time, In-Situ Nitrate Sensor. United States Department of Agriculture, March 2002. http://dx.doi.org/10.32747/2002.7586537.bard.

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Although nitrate fertilizers are critical for enhancing crop production, excess application of nitrate fertilizer can result in ground water contamination leading to the so called "nitrate problem". Health and environmental problems related to this "nitrate problem" have led to serious concerns in many parts of the world including the United States and Israel. These concerns have resulted in legislation limiting the amount of nitrate N in drinking water to 10mg/g. Development of a fast, reliable, nitrate sensor for in-situ application can be extremely useful in dynamic monitoring of environmen

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Lers, Amnon, Majid R. Foolad, and Haya Friedman. genetic basis for postharvest chilling tolerance in tomato fruit. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600014.bard.

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ABSTRACT Postharvest losses of fresh produce are estimated globally to be around 30%. Reducing these losses is considered a major solution to ensure global food security. Storage at low temperatures is an efficient practice to prolong postharvest performance of crops with minimal negative impact on produce quality or human health and the environment. However, many fresh produce commodities are susceptible to chilling temperatures, and the application of cold storage is limited as it would cause physiological chilling injury (CI) leading to reduced produce quality. Further, the primary CI becom

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Lacerda Silva, P., G. R. Chalmers, A. M. M. Bustin, and R. M. Bustin. Gas geochemistry and the origins of H2S in the Montney Formation. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329794.

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The geology of the Montney Formation and the geochemistry of its produced fluids, including nonhydrocarbon gases such as hydrogen sulfide were investigated for both Alberta and BC play areas. Key parameters for understanding a complex petroleum system like the Montney play include changes in thickness, depth of burial, mass balance calculations, timing and magnitudes of paleotemperature exposure, as well as kerogen concentration and types to determine the distribution of hydrocarbon composition, H2S concentrations and CO2 concentrations. Results show that there is first-, second- and third- or

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