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Books on the topic 'Timer signals'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Case, David Robert. Real-time signal processing of multi-path video signals. Salford: University of Salford, 1993.

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2

Curtis, Owen. Time-based coordination of traffic signals. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1985.

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3

Curtis, Owen. Time-based coordination of traffic signals. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1985.

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4

Curtis, Owen. Time-based coordination of traffic signals. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1985.

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5

Curtis, Owen. Time-based coordination of traffic signals. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1985.

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6

Curtis, Owen. Time-based coordination of traffic signals. [Washington, D.C.]: U.S. Dept. of Transportation, Federal Highway Administration, 1985.

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7

Gordon, Robert L. Traffic signal retiming practices in the United States. Washington, D.C: Transportation Research Board, 2010.

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8

Siebert, William McC. Circuits, signals, and systems. London: MIT Press, 1985.

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9

Circuits, signals, and systems. Cambridge, Mass: MIT Press, 1986.

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10

Signals and systems. New Delhi: Oxford University Press, 2010.

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11

Baeyens, Walter J. RSI: Logic, signals & time frame correlation. Greenville, S.C: Traders Press, 2007.

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12

Deller, John R. Discrete-time processing of speech signals. New York: Institute of Electrical and Electronics Engineers, 2000.

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13

Deller, John R. Discrete-time processing of speech signals. New York: Institute of Electrical and Electronics Engineers, 2000.

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14

G, Proakis John, and Hansen John H. L, eds. Discrete-time processing of speech signals. New York: Macmillan Pub. Co., 1993.

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15

Haykin, Simon S. Signals and systems. 2nd ed. Danvers, MA: Wiley, 2005.

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16

Barry, Van Veen, ed. Signals and systems. 2nd ed. New York: Wiley, 2003.

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17

Barry, Van Veen, ed. Signals and systems. New York: Wiley, 1998.

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18

Oppenheim, Alan V. Discrete-time signal processing. 2nd ed. Englewood Cliffs, New Jersey: Prentice Hall, 1999.

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19

Oppenheim, Alan V. Discrete-time signal processing. Englewood Cliffs, N.J: Prentice Hall, 1989.

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20

Oppenheim, Alan V. Discrete-time signal processing. 3rd ed. Upper Saddle River, New Jersey: Pearson, 2010.

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21

Williamson, Darrell. Discrete-time Signal Processing. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0541-1.

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22

Oppenheim, Alan V. Discrete-time signal processing. 2nd ed. Englewood Cliffs, New Jersey: Prentice Hall, 1999.

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23

Fodor, György. Signals, systems, and networks. Budapest: Akadémiai Kiadó, 2003.

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24

Denning, Peter J. About time. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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25

Timer/generator circuits manual. Oxford, OX: Heinemann Newnes, 1990.

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26

Damper, R. I. Introduction to discrete-time signals and systems. London: Chapman & Hall, 1995.

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27

ill, Call Greg, ed. Signals in the Sky: Time Spies #5. Renton, WA: Wizards of the Coast, 2007.

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28

Kuo, Sen M., Bob H. Lee, and Wenshun Tian. Real-Time Digital Signal Processing. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470035528.

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29

Lathi, B. P. Linear systems and signals. New York: Oxford University Press, 2002.

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30

Lathi, B. P. Linear systems and signals. 2nd ed. New York: Oxford University Press, 2005.

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31

Lathi, B. P. Linear systems and signals. Carmichael, CA: Berkeley-Cambridge Press, 1992.

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32

Parsonson, Peter S. Signal timing improvement practices. Washington, D.C: Transportation Research Board, National Research Council, 1992.

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33

Solano, Carlos Hernando Velasco. ARMA modeling of signals in the time domain. Monterey, Calif: Naval Postgraduate School, 1992.

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34

Longo, G., and B. Picinbono, eds. Time and Frequency Representation of Signals and Systems. Vienna: Springer Vienna, 1989. http://dx.doi.org/10.1007/978-3-7091-2620-2.

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35

G, Longo, Picinbono Bernard 1933-, and International Centre for Mechanical Sciences., eds. Time and frequency representation of signals and systems. Wien: Springer, 1989.

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36

H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 4th ed. Upper Saddle River, NJ: Prentice Hall, 1998.

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37

H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 2nd ed. New York: Macmillan, 1989.

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38

H, Tranter William, and Fannin D. Ronald, eds. Signals and systems: Continuous and discrete. 3rd ed. New York: Macmillan, 1993.

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39

Shmaliy, Yuriy. Continuous-Time Signals (Signals and Communication Technology). Springer, 2006.

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40

Signals and Systems: Continuous time signals. Wiley, 2002.

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41

Continuous-Time Signals. Springer Netherlands, 2006. http://dx.doi.org/10.1007/978-1-4020-4818-0.

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42

Shmaliy, Yuriy. Continuous-Time Signals. Springer Netherlands, 2010.

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43

Shmaliy, Yuriy. Continuous-Time Signals. Springer, 2006.

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44

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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Abstract:

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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45

Joint Source-Channel Coding of Discrete-Time Signals with Continuous Amplitudes (Communications and Signal Processing). Imperial College Press, 2007.

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46

Letellier, J. P. Real Time Signal Processing XII (Real-Time Signal Processing). SPIE-International Society for Optical Engine, 1990.

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47

Signals and Systems. John Wiley & Sons, Incorporated, 2002.

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48

Ransom, Candice. Signals in the Sky (Time Spies). Mirrorstone, 2007.

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49

Wang, Yanghua. Time-Frequency Analysis of Seismic Signals. Wiley & Sons, Incorporated, John, 2022.

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50

Wang, Yanghua. Time-Frequency Analysis of Seismic Signals. Wiley & Sons, Incorporated, John, 2022.

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