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1

Clearman, Brian. A first study in transportation markings, the U.S. 2nd ed. Saint Benedict, Or: Mount Angel Abbey, 1992.

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2

Hartle, Allyson J. Minnesota rail-highway grade crossing safety improvement study. Saint Paul, Minn. (395 John Ireland Blvd., St. Paul 55155): Minnesota Dept. of Transportation, Office of the Commissioner, 1992.

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3

Stevenson, David. The information contenet of dividends and the corroboration effect of earnings and divided signals: A UK study. (s.l: The Author), 2001.

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4

Puckett, Jay Alan. Study of the effects of wind power and vortex-induced vibrations to establish fatigue design criteria for high-mast poles. Fargo, N.D.]: Mountain-Plains Consortium, 2011.

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5

Dawar, Niraj. Cultural universals in marketing: A study of consumers' use of brand name, price, physical appearance, and retailer reputation as signals of product quality. Fontainebleau: INSEAD, 1992.

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6

Manfredi, Claudia, ed. Models and analysis of vocal emissions for biomedical applications: 5th International Workshop: December 13-15, 2007, Firenze, Italy. Florence: Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-5518-027-6.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies. The Workshop has the sponsorship of: Ente Cassa Risparmio di Firenze, COST Action 2103, Biomedical Signal Processing and Control Journal (Elsevier Eds.), IEEE Biomedical Engineering Soc. Special Issues of International Journals have been, and will be, published, collecting selected papers from the conference.
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7

Biomedical signal analysis: A case-study approach. New York, NY: Wiley-Interscience, 2002.

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8

Rangayyan, Rangaraj M. Biomedical signal analysis: A case-study approach. [Piscataway, NJ]: IEEE Press, 2002.

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9

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-470-7.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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10

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-6453-096-3.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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11

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-011-2.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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12

Xu, Ming. Automated non-invasive pork grading system-experimental study and signal processing. Ottawa: National Library of Canada, 1996.

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13

The study of handwriting movement: Peripheral models and signal processing techniques. Berwyn: Swets North America, 1987.

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14

Institute of Electrical and Electronics Engineers., IEEE Signal Processing Society, IEEE Xplore (Online service), and Signal Processing Education Workshop (2nd : 2002 : Pine Mountain, Ga.), eds. Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop: & 2nd Signal Processing Education Workshop : 13-16 October 2002, Pine Mountain, GA. Piscataway, N.J: IEEE, 2002.

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15

Jack, Quinn. Processor98: A study of the microprocessor, microcontroller, and digital signal processor markets. Scottsdale, Ariz: Integrated Circuit Engineering Corporation, 1998.

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16

IEEE Digital Signal Processing Workshop (11th 2004 Taos Ski Valley, N.M.). 2004 IEEE 11th Digital Signal Processing Workshop: & 2nd [sic] IEEE Signal Processing Education Workshop : Taos Ski Valley, NM, 1-4 August, 2004. Piscataway, N.J: IEEE, 2004.

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17

IEEE Digital Signal Processing Workshop (12th 2006 Grand Teton National Park, Wyo.). 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop: Teton National Park, WY : 24-27 September 2006. Piscataway, N.J: IEEE, 2006.

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18

Rao, P. V. Krishna. Comparative study of the marmas. New Delhi: Rashtriya Sanskrit Sansthan, 2007.

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19

Service, United States National Park. National sign system study. [Washington, D.C.?]: National Park Service, 1987.

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20

National sign system study. [Washington, D.C.?]: National Park Service, 1987.

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21

Service, United States National Park. National sign system study. [Washington, D.C.?]: National Park Service, 1987.

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22

Quinn, Jack. Processor '97: A study of the microprocessor, microcontroller, and digital signal processor markets. Tempe, AZ: Forward Concepts, 1997.

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23

Ye, Winnie Ning. All-optical signal processing using nonlinear periodic structures: A study of temporal response. Ottawa: National Library of Canada, 2002.

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24

Bianchini, Riccardo. Virtual sound: Sound synthesis and signal processing, theory and practice with Csound. Rome, Italy: ConTempo, 2000.

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25

Stewart, W. Kenneth. A preliminary study of shallow-water sonar issues: Signal motion loss and reverberation noise. [Woods Hole, Mass: Woods Hole Oceanographic Institution, Massachusetts Institute of Technology, 1993.

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26

NATO, Advanced Study Institute on Structure and Function of Interacting Protein Domains in Signal and Energy Transduction (1996 Acquafredda di Maratea Italy). Interacting protein domains: Their role in signal and energy transduction : [proceedings of the NATO Advanced Study Institute on Structure and Function of Interacting Protein Domains in Signal and Energy Transduction, held at Acquafredda di Maratea, Italy, September 10-19, 1996]. Berlin: Springer, 1997.

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27

SAE International Congress & Exposition (1988 Detroit, Mich.). Current ISO automotive symbols versus alternatives: A preference study. Warrendale, PA: Society of Automotive Engineers, 1988.

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28

Wu, Leijia. A Study on Radio Access Technology Selection Algorithms. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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29

American Institute of Graphic Arts. and United States. Dept. of Transportation., eds. Symbol signs: The complete study of passenger/pedestrian-oriented symbols. 2nd ed. New York: The Institute, 1993.

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30

Status Signals: A Sociological Study of Market Competition. Princeton University Press, 2005.

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31

Podolny, Joel M. Status Signals: A Sociological Study of Market Competition. Princeton University Press, 2010.

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32

Block 4 - Digital Signals: Study Units (Digital Telecommunications). Open University Worldwide, 1990.

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33

Podolny, Joel M. Status Signals: A Sociological Study of Market Competition. Princeton University Press, 2010.

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34

Podolny, Joel M. Status Signals: A Sociological Study of Market Competition. Princeton University Press, 2008.

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35

Signals, Systems and Sound Synthesis. Lang AG International Academic Publishers, Peter, 2013.

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36

Lerman, David. A model for the generation and study of electromyographic signals. 1991.

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37

Ki-ju, Chʻoe, and Cho Sŏng-bin, eds. Sŏul-si kyotʻong chŏngbo mit annae chʻegye kaesŏn pangan yŏnʼgu =: A study on the improvements of transportation information and guidance systems for Seoul. Sŏul Tʻŭkpyŏlsi: Sŏul Sijŏng Kaebal Yŏnʼguwŏn, 1994.

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38

Green, Captain D. Lights, Shapes & Signals for Merchant Mariner: A Flash Card Study Guide. Schiffer Publishing, Ltd., 2012.

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39

J, McMahon Patrick, United States. Federal Highway Administration. Office of Safety R&D., Turner-Fairbank Highway Research Center, and University of North Carolina (System). Highway Safety Research Center., eds. An analysis of factors contributing to "walking along roadway" crashes: Research study and guidelines for sidewalks and walkways. McLean, VA: U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center (6300 Georgetown Pike, McLean, 22101-2296), 2002.

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40

Boston Traffic and Parking Dept. Beacon hill neighborhood transportation planning study. 1985.

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41

Shibahara, Tetsutaro. On using causal knowledge to recognize vital signals: a study of knowledge-based interpretation of arrythmias. 1985.

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42

United States. National Aeronautics and Space Administration., ed. Addendum A to NASA 60 GHz intersatellite communication link definition study: Mixed baseband and IF signals. Palo Alto, CA: Communication Sciences, Space System Operations, Western Development Laboratories, Ford Aerospace & Communications Corp., 1986.

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43

Medical Area Service Corporation (MASCO). Summary of major points, lma transportation study, 1987. 1987.

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44

Crime Signals: How to Spot a Criminal Before You Become a Victim. St. Martin's Press, 2008.

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45

(Editor), Mark A. O'Brien, Howard N. Wallace (Editor), and Antony F. Campbell (Editor), eds. Seeing Signals, Reading Signs: The Art Of Exegesis (Journal for the Study of the Old Testament Supplement). T. & T. Clark Publishers, 2005.

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46

R, Spilker Thomas, and United States. National Aeronautics and Space Administration., eds. Microwave resonator measurements of atmospheric absorption coefficients: A preliminary design study. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laborator[y], California Institute of Technology, 1995.

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47

United States. Federal Highway Administration., ed. Intelligent transportation systems in work zones: A case study : dynamic lane merge system : reducing aggressive driving and optimizing throughput at work zone merges in Michigan. [Washington, DC: U.S. Dept. of Transportation, Federal Highway Administration, 2004.

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48

Abbey, Mount Angel, and Brian Clearman. Transportation Markings: A Study in Communication Mongraph Series : First Studies in Transportation Markings : Part A : Foundations (Transportation). 2nd ed. Mount Angel Abbey, 1991.

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49

Pham, Ngoc Tung. Nonverbal communication and Vietnamese students in Canada: a study of their sensitivity to Canadian facial expressions of fundamental emotions and gestures and their emblematic hand signals. 1994.

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50

Hari, Riitta. Magnetoencephalography. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0035.

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This chapter introduces magnetoencephalography (MEG), a tool to study brain dynamics in basic and clinical neuroscience. MEG picks up brain signals with millisecond resolution, as does electroencephalography, but without distortion by skull and scalp. The chapter describes current instrumentation based on superconducting quantum interference devices (SQUIDs). It delineates basic characteristics of measured signals: (1) brain rhythms and their reactivity during sensory processing and various tasks and (2) evoked responses elicited by sensory stimuli, and the dependence of these responses on various stimulus characteristics. Signals are described from healthy and diseased brains. The chapter presents studies of the brain basis of cognition and social interaction studied in dual-MEG setups and describes how MEG applications can be broadened by innovative setups, including frequency tagging. Progress in the field is predicted regarding sensor technology, data analysis, and multimodal brain imaging, all of which could strengthen MEG’s role in the study of brain dynamics.
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