Books on the topic 'Signal detection'

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1

Tuzlukov, Vyacheslav P. Signal Detection Theory. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8.

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2

Tuzlukov, V. P. Signal Detection Theory. Boston, MA: Birkhäuser Boston, 2001.

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3

Barkat, Mourad. Signal detection and estimation. Boston: Artech House, 1991.

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4

Song, Iickho. Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.

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5

Jinsoo, Bae, and Ki Sun Yong 1968-, eds. Advanced theory of signal detection: Weak signal detection in generalized observations. Berlin: Springer, 2002.

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6

Song, Iickho, Jinsoo Bae, and Sun Yong Kim. Advanced Theory of Signal Detection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04859-7.

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7

Hart, G. F. Wind propeller signal detection improvements. Fayetteville, Tenn: Tennessee Applied Physics, Inc., 1992.

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8

D, Whalen Anthony, and Whalen Anthony D, eds. Detection of signals in noise. 2nd ed. San Diego: Academic Press, 1995.

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9

1945-, Papantoni-Kazakos P., ed. Detection and estimation. New York: Computer Science Press, 1990.

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10

1925-, Thomas John Bowman, ed. Signal detection in non-Gaussian noise. New York: Springer-Verlag, 1988.

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11

Kassam, Saleem A. Signal Detection in Non-Gaussian Noise. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3834-8.

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12

Weber, Charles L. Elements of Detection and Signal Design. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4774-6.

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13

Helstrom, Carl W. Elements of signal detection and estimation. Englewood Cliffs, N.J: PTR Prentice Hall, 1995.

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14

Kassam, Saleem A. Signal Detection in Non-Gaussian Noise. New York, NY: Springer New York, 1988.

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15

Weber, Charles L. Elements of Detection and Signal Design. New York, NY: Springer New York, 1987.

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16

Poor, H. Vincent. An introduction to signal detection and estimation. New York: Springer-Verlag, 1988.

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17

Bai, Lin. Low Complexity MIMO Detection. Boston, MA: Springer US, 2012.

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18

Liya, Jiang. Development of signal processing system for detection of microvolt cardiac signals. Leicester: De Montfort University, 1999.

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19

Poor, H. Vincent. An Introduction to Signal Detection and Estimation. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-2341-0.

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20

Poor, H. Vincent. An Introduction to Signal Detection and Estimation. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4757-3863-6.

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21

Levy, Bernard C. Principles of Signal Detection and Parameter Estimation. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76544-0.

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22

Centre, Bhabha Atomic Research, ed. Seismic signal detection by fractal dimension approach. Mumbai: Bhabha Atomic Research Centre, 2003.

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23

Commons, Michael L. Signal Detection. Psychology Press, 2013. http://dx.doi.org/10.4324/9780203772430.

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24

Mohanty, Nirode C. Signal Processing: Signals, Filtering, and Detection. Springer London, Limited, 2012.

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25

Mohanty, Nirode. Signal Processing: Signals, Filtering, and Detection. Springer, 2013.

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26

Signal processing: Signals, filtering, and detection. New York: Van Nostrand Reinhold, 1987.

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27

Winer, E. Samuel, and Michael Snodgrass. Signal Detection Theory. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199600472.013.016.

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28

Tuzlukov, Vyacheslav P. Signal Detection Theory. Birkhäuser, 2011.

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29

IoT Signal Detection. Wiley & Sons, Incorporated, John, 2024.

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30

IoT Signal Detection. Wiley & Sons, Incorporated, John, 2024.

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31

Signal Detection Theory. Birkhauser, 2001.

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32

IoT Signal Detection. Wiley & Sons, Incorporated, John, 2024.

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33

IoT Signal Detection. Wiley & Sons, Limited, John, 2024.

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34

Song, Iickho, Jinsoo Bae, Sun Yong Kim, J. Bae, and S. Y. Kim. Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations (Signals and Communication Technology). Springer, 2004.

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35

Detection Theory: A User's Guide. 2nd ed. Lawrence Erlbaum, 2004.

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36

Ashby, F. Gregory, and Fabian A. Soto. Multidimensional Signal Detection Theory. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.2.

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Abstract:
Multidimensional signal detection theory is a multivariate extension of signal detection theory that makes two fundamental assumptions, namely that every mental state is noisy and that every action requires a decision. The most widely studied version is known as general recognition theory (GRT). General recognition theory assumes that the percept on each trial can be modeled as a random sample from a multivariate probability distribution defined over the perceptual space. Decision bounds divide this space into regions that are each associated with a response alternative. General recognition theory rigorously defines and tests a number of important perceptual and cognitive conditions, including perceptual and decisional separability and perceptual independence. General recognition theory has been used to analyze data from identification experiments in two ways: (1) fitting and comparing models that make different assumptions about perceptual and decisional processing, and (2) testing assumptions by computing summary statistics and checking whether these satisfy certain conditions. Much has been learned recently about the neural networks that mediate the perceptual and decisional processing modeled by GRT, and this knowledge can be used to improve the design of experiments where a GRT analysis is anticipated.
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37

Detection and Signal Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-29600-3.

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38

Elementary signal detection theory. Oxford: Oxford University Press, 2002.

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39

Wickens, Thomas D. Elementary Signal Detection Theory. Ebsco Publishing, 2001.

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40

Breebart, Dirk Jeroen. Modeling Binaural Signal Detection. Universiteitsdrukkerij Technische Eindhoven, Netherlands, 2001.

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41

Wickens, Thomas D. Elementary Signal Detection Theory. Oxford University Press, USA, 2001.

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42

Wickens, Thomas D. Elementary Signal Detection Theory. Oxford University Press, 2002.

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43

Signal detection and estimation. 2nd ed. Boston: Artech House, 2005.

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44

Verdú, Sergio. Multiuser Detection. Cambridge University Press, 2021.

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45

Verdú, Sergio. Multiuser Detection. Cambridge University Press, 2011.

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46

McCarley, Jason S., and Aaron S. Benjamin. Bayesian and Signal Detection Models. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199757183.013.0032.

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47

Tiwari, Ram, Jyoti Zalkikar, and Lan Huang. Signal Detection for Medical Scientists. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429259753.

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48

McNicol, Don. Primer of Signal Detection Theory. Taylor & Francis Group, 2005.

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49

Net, Pro Career. Signal Detection & Management: Gvp IX. Independently Published, 2019.

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50

McNicol, Don. Primer of Signal Detection Theory. Taylor & Francis Group, 2005.

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