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Books on the topic 'Scattering signal'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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1

Conway, G. D. Scattering of reflectometer signals from rippled surfaces. Saskatoon, Sask: University of Saskatchewan, Plasma Physics Laboratory, 1993.

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2

Walsh, Norman J. Bandwidth and signal-to-noise ratio enhancement of the NPS Transient Electromagnetic Scattering Laboratory. Monterey, Calif: Naval Postgraduate School, 1989.

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3

Seismic Wave Propagation and Scattering in the Heterogenous Earth (Modern Acoustics and Signal Processing). New York: Springer-Verlag New York, Inc,, 1998.

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4

K, Chan Andrew, ed. Fundamentals of wavelets: Theory, algorithms, and applications. New York: Wiley, 1999.

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5

K, Chan Andrew, ed. Fundamentals of wavelets: Theory, algorithms, and applications. 2nd ed. Hoboken, N.J: Wiley, 2010.

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6

Rodriguez, B. E. Further studies on the scattering properties of skin using ultrasonic signals. Manchester: UMIST, 1996.

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7

1970-, Bal Guillaume, and International Workshop on Inverse Transport Theory and Tomography (2009 : Banff, Alta.), eds. Tomography and inverse transport theory: International Workshop on Mathematical Methods in Emerging Modalities of Medical Imaging, October 25-30, 2009, Banff, Canada : International Workshop on Inverse Transport Theory and Tomography, May 16-21, 2010, Banff, Canada. Providence, R.I: American Mathematical Society, 2011.

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8

Singh, Hema, H. L. Sneha, and Rakesh Mohan Jha. Scattering Cross Section of Unequal Length Dipole Arrays. Springer, 2015.

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9

Somapee, Soonpuen. Computer algorithms for measurement control and signal processing of transient scattering signatures. 1988.

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10

Kaashoek, M. A. Signal Processing, Scattering and Operator Theory, and Numerical Methods (Progress in Systems & Control Theory). Birkhauser Verlag AG, 1990.

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11

Fehler, Michael C., and Haruo Sato. Seismic Wave Propagation and Scattering in the Heterogenous Earth (Modern Acoustics and Signal Processing). American Institute of Physics, 1997.

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12

Belkic, Dzevad. Quantum Theory of Resonant Scattering, Spectroscopy and Signal Processing (Series in Atomic Molecular Physics). Taylor & Francis, 2009.

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13

Kaashoek, M. A. Signal Processing, Scattering and Operator Theory, and Numerical Methods (Progress in Systems & Control Theory). Birkhauser Verlag AG, 1990.

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14

Sukharevsky, Oleg I. Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis Group, 2018.

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15

Sukharevsky, Oleg I. Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis Group, 2018.

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16

Sukharevsky, Oleg I. Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis Group, 2018.

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17

Sukharevsky, Oleg I. Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis Group, 2014.

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18

Sukharevsky, Oleg I. Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis, 2014.

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19

Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. Taylor & Francis Group, 2018.

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20

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Developments on the Horizon. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0013.

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The field of application for solution scattering is broader than we can cover in detail and with new instrumentation, that field is only growing. XFEL sources offer the potential for time resolved studies exquisitely sensitive to rapid structural biological processes while at the same time potentially extending the information beyond that provided by current solution scattering methods. Cryogenic approaches offer the potential to increase signal and/or improve sample demands opening up the technique to a wider array of studies. Finally, use of the atomic scattering properties reveals biological information in the case of nucleic acids and has the potential to provide molecular rulers able to resolve dynamic structural changes as they occur. This chapter provides a glimpse of what is possible and a starting point for further exploration.
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21

Kaashoek, M. A., and J. H. Schuppen. Signal Processing, Scattering and Operator Theory, and Numerical Methods: Proceedings of the International Symp Mtns-89, Voliii (Progress in Systems and Control Theory). Birkhauser, 1990.

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22

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Instrumental and Experimental Considerations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0008.

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Thic chapter describes some of the processes that are often carried out within specific data processing software associated with an instrument but are invisible to the user. It is useful to be aware of them. These include dealing with detector artifacts and limitations, and the integration of the signal from a two-dimensional image to produce a one-dimensional scattering profile, among other steps.
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23

Wunderlich, J., K. Olejník, L. P. Zârbo, V. P. Amin, J. Sinova, and T. Jungwirth. Spin-injection Hall effect. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198787075.003.0016.

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This chapter discusses the Spin-injection Hall effect (SiHE), another member of the spin-dependent Hall effects that is closely related to the anomalous Hall effect (AHE), the spin Hall effect (SHE), and the inverse spin Hall effect (iSHE). The microscopic origins responsible for the appearance of spin-dependent Hall effects are due to the spin-orbit (SO) coupling-related asymmetrical deflections of spin carriers. Depending on the relative strength of the SO coupling compared to the energy-level broadening of the quasi-particle states due to disorder scattering, scattering-related extrinsic mechanisms or intrinsic band structure-related deflection dominate the spin-dependent Hall response. Both the iSHE and the SiHE require spin injection into a nonmagnetic system. Similar to the AHE, a spin-polarized charge current flows in the case of the SiHE and the SO coupling generates the spin-dependent Hall signal.
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24

Goswami, Jaideva C., and Andrew K. Chan. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2010.

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25

Goswami, Jaideva C., and Andrew K. Chan. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2008.

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26

Goswami, Jaideva C., and Andrew K. Chan. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2011.

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27

Goswami, Jaideva C., and Andrew K. Chan. Fundamentals of Wavelets: Theory, Algorithms, and Applications. Wiley & Sons, Incorporated, John, 2011.

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28

Saito, R., A. Jorio, J. Jiang, K. Sasaki, G. Dresselhaus, and M. S. Dresselhaus. Optical properties of carbon nanotubes and nanographene. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533053.013.1.

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This article examines the optical properties of single-wall carbon nanotubes (SWNTs) and nanographene. It begins with an overview of the shape of graphene and nanotubes, along wit the use of Raman spectroscopy to study the structure and exciton physics of SWNTs. It then considers the basic definition of a carbon nanotube and graphene, focusing on the crystal structure of graphene and the electronic structure of SWNTs, before describing the experimental setup for confocal resonance Raman spectroscopy. It also discusses the process of resonance Raman scattering, double-resonance Raman scattering, and the Raman signals of a SWNT as well as the dispersion behavior of second-order Raman modes, the doping effect on the Kohn anomaly of phonons, and the elastic scattering of electrons and photons. The article concludes with an analysis of excitons in SWNTs and outlines future directions for research.
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29

R, Hartfield, and United States. National Aeronautics and Space Administration., eds. Development of a technique for separating Raman scattering signals from background emission with single-shot measurement potential. Reston, VA: American Institute of Aeronautics and Astronautics, 1997.

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30

Egon, Marx, and National Institute of Standards and Technology (U.S.), eds. User's manual for the program MONSEL-1: Monte Carlo simulation of SEM signals for linewidth metrology. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1994.

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31

Egon, Marx, and National Institute of Standards and Technology (U.S.), eds. User's manual for the program MONSEL-1: Monte Carlo simulation of SEM signals for linewidth metrology. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1994.

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