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Books on the topic 'Signal beamforming'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Liu, Wei. Wideband beamforming: Concepts and techniques. Wiley, 2010.

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2

Wage, Kathleen E. Broadband modal coherence and beamforming at megameter ranges. Massachusetts Institute of Technology, 2000.

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3

Nikitakos, Nikitas V. A comparison of two frequency domain adaptive beamforming algorithms for sonar signal processing. Naval Postgraduate School, 1988.

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4

1954-, Horan Stephen John, and United States. National Aeronautics and Space Administration., eds. TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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5

1954-, Horan Stephen John, and United States. National Aeronautics and Space Administration., eds. TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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6

Omans, Glenn A. Broadband modal beamforming of acoustic tomography signals acquired by a vertical array. Naval Postgraduate School, 1992.

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7

Liu, Wei, and Stephan Weiss. Wideband Beamforming. Wiley & Sons, Incorporated, John, 2010.

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8

Benesty, Jacob, Jingdong Chen, and Chao Pan. Fundamentals of Differential Beamforming. Springer London, Limited, 2016.

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9

Liu, Wei, and Stephan Weiss. Wideband Beamforming: Concepts and Techniques. Wiley & Sons, Limited, John, 2010.

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10

Liu, Wei, and Stephan Weiss. Wideband Beamforming: Concepts and Techniques. Wiley & Sons, Incorporated, John, 2010.

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11

Manikas, Athanassios. Beamforming: Sensor Signal Processing for Defence Applications. Imperial College Press, 2015.

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12

Elnashar, Ayman. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications. Wiley & Sons, Incorporated, John, 2018.

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13

ElNashar, Ayman. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications. Wiley & Sons, Limited, John, 2018.

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14

ElNashar, Ayman. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications. Wiley & Sons, Incorporated, John, 2018.

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15

Elnashar, Ayman. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications. Wiley & Sons, Limited, John, 2018.

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16

Li, Jian, and Petre Stoica. Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing). Wiley-Interscience, 2005.

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17

Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing). Wiley-Interscience, 2005.

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18

Arthur H.M. van Roermund, Yikun Yu, and Peter G. M. Baltus. Integrated 60GHz RF Beamforming in CMOS. Springer, 2013.

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19

Yu, Yikun, Peter G. M. Baltus, and Arthur H. M. Roermund. Integrated 60GHz RF Beamforming in CMOS. Springer, 2011.

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20

Integrated 60ghz Rf Beamforming In Cmos. Springer, 2011.

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21

Baltus, Peter G. M., Arthur H. M. van Roermund, and Yikun Yu. Integrated 60GHz RF Beamforming in CMOS. Springer London, Limited, 2011.

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22

Chhetri, Amit S. Signal-Enhancing Beamforming in an Augmented Reality Environment: United States Patent 9973848. Independently Published, 2021.

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23

Kim, Keonwook. Design and analysis of parallel algorithms for distributed in-situ array beamforming. 2001.

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24

Bourgeois, Julien, and Wolfgang Minker. Time-Domain Beamforming and Blind Source Separation: Speech Input in the Car Environment. Springer, 2009.

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25

Bourgeois, Julien, and Wolfgang Minker. Time-Domain Beamforming and Blind Source Separation: Speech Input in the Car Environment. Springer, 2010.

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26

Cheyne, Douglas O., and Andrew C. Papanicolaou. Magnetoencephalography and Magnetic Source Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.6.

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Abstract:

This chapter focuses on magnetoencephalography (MEG) used in brain imaging and its use in localizing the brain sources of externally recorded spontaneous activity and stimulus and task –induced activation. The chapter first describes the instruments used for recording the magnetoencephalographic signals and the neurogenesis of these signals. It then considers proposed solutions for the “inverse” problem and describes approaches for MEG source estimation, including a method that specifies only one or many equivalent current dipoles. It also explains the signal source-localizing technique known

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27

Wicks, Michael C., Eric L. Mokole, Shannon D. Blunt, Richard S. Schneible, and Vincent J. Amuso. Principles of Waveform Diversity and Design. Institution of Engineering & Technology, 2013.

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28

TDRS MA phased-array antenna simulations. Center for Space Telemetering and Telecommunications Systems, Klipsch Dept. of Electrical Engineering, New Mexico State University, 1995.

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29

Principles of waveform diversity and design. SciTech Pub., 2011.

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30

Interference Suppression for Spread Spectrum Signals Using Adaptive Beamforming and Adaptive Temporal Filter. Storming Media, 1996.

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