Books on the topic 'Signal behavior'

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1

Takeda, Kazuya, Hakan Erdogan, John H. L. Hansen, and Huseyin Abut, eds. In-Vehicle Corpus and Signal Processing for Driver Behavior. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-79582-9.

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2

B, Hoek Jan, and National Institute on Alcohol Abuse and Alcoholism (U.S.), eds. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Blvd., Bethesda 20892): U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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3

R, Buchler J., and Kandrup Henry E, eds. Nonlinear signal and image analysis. New York, N.Y: New York Academy of Sciences, 1997.

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4

Hoek, Jan B. Ethanol and intracellular signaling: From molecules to behavior. Bethesda, MD (6000 Executive Boulevard, Bethesda, 20892): U.S. Department of Health and Human Services, Public Health Service, National Institute of Health, National Institute on Alcohol Abuse and Alcoholism, 2000.

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5

1981-, Lin W. Sabrina, and Liu, K. J. Ray, 1961-, eds. Behavior dynamics in media-sharing social networks. Cambridge: Cambridge University Press, 2011.

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6

Kong, Tse Chi, ed. Reconstruction of chaotic signals with applications to chaos-based communications. [Beijing, China]: Tsinghua University Press, 2008.

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7

1966-, Gao Jianbo, ed. Multiscale analysis of complex time series: Integration of chaos and random fractal theory, and beyond. Hoboken, NJ: John Wiley & Sons, 2007.

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8

A, Velastin Sergio, Remagnino Paolo 1963-, and Institution of Electrical Engineers, eds. Intelligent distributed video surveillance systems. London: Institution of Electrical Engineers, 2006.

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9

International Society for Invertebrate Neurobiology. Symposium. Neurobiology of invertebrates: Signal molecules, networks, behaviour. Budapest: Akadémiai Kiadó, 1993.

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10

R, Dillon C., ed. Signals and systems: Models and behaviour. Wokingham: Van Nostrand Reinhold, 1986.

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11

R, Dillon C., ed. Signals and systems: Models and behaviour. 2nd ed. London: Chapman & Hall, 1991.

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12

Meade, M. L. Signals and systems: Models and behaviour. London: Chapman and Hall, 1990.

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13

Meade, M. L. Signals and systems: Models and behaviour. 2nd ed. London: Chapman & Hall, 2000.

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14

M, Lackie J., Dunn Graham 1944-, and Jones Gareth E. 1947-, eds. Cell behaviour: Control and mechanism of motility. Princeton, NJ: Princeton University Press, 1999.

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15

1947-, Jones Gareth E., Dunn Graham 1944-, and Lackie J. M, eds. Cell behaviour: Control and mechanism of motility. London: Portland on behalf of The Biochemical Society, 1999.

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16

Rämä, Pirkko. Effects of weather-controlled variable message signing on driver behaviour. Espoo [Finland]: Technical Research Centre of Finland, 2001.

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17

Esposito, Anna, Marcos Faundez-Zanuy, Francesco Carlo Morabito, and Eros Pasero, eds. Quantifying and Processing Biomedical and Behavioral Signals. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95095-2.

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18

Ireland, Norman J. On limiting the market for status signals. Coventry: University of Warwick Department of Economics, 1991.

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19

Ireland, Norman J. On limiting the market for status signals. Coventry: University of Warwick, Dept. of Economics, 1991.

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20

Zhang, Huaguang. Controlling Chaos: Suppression, Synchronization and Chaotification. London: Springer London, 2009.

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21

Zalogin, N. N. Shirokopolosnye khaoticheskie signaly v radiotekhnicheskikh i informat︠s︡ionnykh sistemakh. Moskva: Izd-vo "Radiotekhnika", 2006.

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22

Leung, Henry. Chaotic Signal Processing. SIAM-Society for Industrial and Applied Mathematics, 2013.

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23

InVehicle Corpus and Signal Processing for Driver Behavior. Springer, 2008.

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24

Laubach, Mark, Adam Thomas Brockett, Linda M. Amarante, and Matthew R. Roesch. What Does Medial Frontal Cortex Signal During Behavior? Insights from Behavioral Neurophysiology. Elsevier Science & Technology Books, 2021.

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25

What does Medial Frontal Cortex Signal During Behavior? Insights from Behavioral Neurophysiology. Elsevier, 2021. http://dx.doi.org/10.1016/s0074-7742(21)x0004-9.

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26

Laubach, Mark, Adam Thomas Brockett, Linda M. Amarante, and Matthew R. Roesch. What Does Medial Frontal Cortex Signal During Behavior? Insights from Behavioral Neurophysiology. Elsevier Science & Technology, 2021.

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27

Hansen, John, Hakan Erdogan, Huseyin Abut, and Kazuya Takeda. In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer, 2010.

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28

Hansen, John, Hakan Erdogan, Huseyin Abut, and Kazuya Takeda. In-Vehicle Corpus and Signal Processing for Driver Behavior. Springer London, Limited, 2009.

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29

Wolters-Broder, Lisa. ATA583X System Behavior with Strong Input Signal App Note. Microchip Technology Incorporated, 2017.

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30

(Editor), Michael L. Commons, John A. Nevin (Editor), Michael C. Davison (Editor), and Michael Davidson (Editor), eds. Signal Detection: Mechanisms, Models, and Applications (Quantitative Analyses of Behavior). Lawrence Erlbaum, 1991.

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31

Hansen, John, Gerhard Schmidt, Huseyin Abut, Kazuya Takeda, and Hanseok Ko. Signal Processing for In-Vehicle Systems: DPS, Driver Behavior, and Safety. De Gruyter, Inc., 2017.

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32

Multimodal Behavior Analysis in the Wild: Advances and Challenges. Academic Press, 2018.

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33

Sebe, Nicu, Elisa Ricci, and Xavier Alameda-Pineda. Multimodal Behavior Analysis in the Wild: Advances and Challenges. Elsevier Science & Technology Books, 2018.

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34

Hansen, John, Gerhard Schmidt, Huseyin Abut, Kazuya Takeda, and Hanseok Ko. Vehicle Systems and Driver Modelling: DSP, Human-To-vehicle Interfaces, Driver Behavior, and Safety. de Gruyter GmbH, Walter, 2017.

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35

Hansen, John, Gerhard Schmidt, Huseyin Abut, Kazuya Takeda, and Hanseok Ko. Vehicle Systems and Driver Modelling: DSP, Human-To-vehicle Interfaces, Driver Behavior, and Safety. de Gruyter GmbH, Walter, 2017.

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36

1950-, Katz Richard A., ed. The Chaos paradigm: Developments and applications in engineering and science : Mystic, CT 1993. New York: AIP Press, 1994.

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37

Schaal, David W. Responding of pigeons under variable-interval schedules of signaled-delayed reinforcement: Effects of delay-signal duration. 1988.

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38

M, Pecora Louis, and Society of Photo-optical Instrumentation Engineers., eds. Chaos in communications: 14-15 July 1993, San Diego, California. Bellingham, Wash., USA: SPIE, 1993.

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39

Coyle-Shapiro, Jacqueline A.-M., Marjo-Riitta Diehl, and Chiachi Chang. The Employee–Organization Relationship and Organizational Citizenship Behavior. Edited by Philip M. Podsakoff, Scott B. Mackenzie, and Nathan P. Podsakoff. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190219000.013.27.

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Drawing upon social exchange theory and the norm of reciprocity, we review the employee–organization relationship (EOR). A number of EOR frameworks share common theoretical ground yet have developed independently: psychological contracts, perceived organizational support, employment relationship, social and economic exchange, and idiosyncratic deals. We examine the empirical evidence linking each of the frameworks to employees’ organizational citizenship behavior (OCB). Relationships based on minimal investment (quasi-spot contracts and transactional psychological contracts) and psychological contract breach are negatively related to OCB. Economic exchange is unrelated to OCB. Relationships that demonstrate investment, support, fulfillment of obligations, and granting of idiosyncratic deals are positively related to OCB because they signal a trusting and benefit conferring relationship. We outline challenges and future research directions that address the “value addedness” of the EOR frameworks.
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40

Masao, Norita, Bando Takehiko, and Stein Barry E, eds. Extrageniculostriate mechanisms underlying visually-guided orientation behavior. Amsterdam: Elsevier, 1996.

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41

Chaotic Dynamics of Sea Clutter (Adaptive and Learning Systems for Signal Processing, Communications and Control Series). Wiley-Interscience, 1999.

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42

Eisencraft, Marcio, Romis Attux, and Ricardo Suyama. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2017.

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43

Eisencraft, Marcio. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2013.

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44

Eisencraft, Marcio, Romis Attux, and Ricardo Suyama. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2018.

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45

Eisencraft, Marcio, Romis Attux, and Ricardo Suyama. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2018.

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46

Chaotic Signals In Digital Communications. Taylor & Francis Inc, 2013.

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47

Eisencraft, Marcio, Romis Attux, and Ricardo Suyama. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2018.

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48

Eisencraft, Marcio, Romis Attux, and Ricardo Suyama. Chaotic Signals in Digital Communications. Taylor & Francis Group, 2018.

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49

Wendling, Fabrice, Marco Congendo, and Fernando H. Lopes da Silva. EEG Analysis. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical model decomposition. The behavior of these methods in denoising EEG signals is illustrated. Concepts of functional and effective connectivity are developed with emphasis on methods to estimate causality and phase and time delays using linear and nonlinear methods. Attention is given to Granger causality and methods inspired by this concept. A concrete example is provided to show how information processing methods can be combined in the detection and classification of transient events in EEG/MEG signals.
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50

Stavroulakis, Peter. Chaos Applications in Telecommunications. Taylor & Francis Group, 2005.

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