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Books on the topic 'Information filters'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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1

Schneider, Karen G. A practical guide to Internet filters. New York: Neal-Schuman Publishers, 1997.

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2

Ristic, Branko. Particle Filters for Random Set Models. New York, NY: Springer New York, 2013.

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3

Certain paint filters and strainers from Brazil: Determination of the Commission in investigation no. 701-TA-280 (preliminary) under the Tariff Act of 1930, together with the information obtained in the investigation : determination of the Commission in investigation no. 731-TA-337 (preliminary) under the Tariff Act of 1930, together with the information obtained in the investigation. Washington, DC: U.S. International Trade Commission, 1986.

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4

Dong, Hongli. Filtering, control and fault detection with randomly occurring incomplete information. Chichester, West Sussex, United Kingdom: Wiley, 2013.

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5

Paarmann, Larry D. Design and Analysis of Analog Filters: A Signal Processing Perspective. Boston, MA: Springer US, 2003.

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6

K, Wang R., ed. Frequency domain filtering strategies for hybrid optical information processing. Taunton, Somerset, England: Research Studies Press, 1996.

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7

David, Banks. The design, implementation, and testing of an imaging system to provide quantitative ion position information at the exit of a quadrupole mass filter. [Toronto, Ont.]: Graduate Dept. of Aerospace Science and Engineering, University of Toronto, 1992.

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8

service), SpringerLink (Online, ed. VLSI Analog Filters: Active RC, OTA-C, and SC. Boston: Birkhäuser Boston, 2013.

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9

Weber, Axel A. Neue klassische Makroökonomie, rationale Erwartungen und kontemporäre Information: Theoretische Analyse, ökonometrische Testprobleme und empirische Evidenz für die Bundesrepublik Deutschland unter Verwendung des Kalman-Filters. Frankfurt am Main: Haag + Herchen, 1988.

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10

Príncipe, J. C. Kernel adaptive filtering: A comprehensive introduction. Hoboken, N.J: Wiley, 2010.

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11

Príncipe, J. C. Kernel adaptive filtering: A comprehensive introduction. Hoboken, N.J: Wiley, 2010.

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12

Príncipe, J. C. Kernel adaptive filtering: A comprehensive introduction. Hoboken, N.J: Wiley, 2010.

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13

Surviving information overload: How to find, filter, and focus on what's important. Menlo Park, CA: Crisp Learning, 2004.

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14

Pariser, Eli. The Filter Bubble: What the Internet is Hiding From You. New York: Penguin Press, 2011.

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15

Eisentraut, Peter. Mit Open Source-Tools Spam und Viren beka mpfen: [Lo sungen fu r Postfix, Exim & sendmail]. Beijing: O'Reilly, 2005.

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16

Speight, A. E. H. Consumption: Income sensitivity under limited information : rational expectations : implications of the Kalman filter and tests with panel data. Aberdeen: University of Aberdeen. Department of Economics, 1988.

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17

Banks, David. The design, implementation, and testing of an imaging system to provide quantitative ion position information at the exit of a quadrupole mass filter. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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18

Ristic, Branko. Particle Filters for Random Set Models. Springer, 2015.

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19

Robust Control and Filtering of Singular Systems (Lecture Notes in Control and Information Sciences). Springer, 2006.

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20

Access Denied: How Internet Filters Impact Student Learning in High Schools. Cambria Press, 2006.

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21

Fuzzy Control and Filter Design for Uncertain Fuzzy Systems (Lecture Notes in Control and Information Sciences). Springer, 2006.

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22

Germani, A. Stochastic Modelling and Filtering: Proceedings of the Ifip-Wg 7/1 Working Conference (Lecture Notes in Control and Information Sciences). Springer, 1987.

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23

Paarmann, Larry D. Design and Analysis of Analog Filters: A Signal Processing Perspective. Springer, 2013.

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24

Metivier, M. Stochastic Differential Systems: Filtering and Control (Lecture Notes in Control and Information Sciences). Springer, 1985.

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25

Dong, Hongli, Zidong Wang, and Huijun Gao. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information. Wiley & Sons, Incorporated, John, 2013.

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26

Dong, Hongli, Zidong Wang, and Huijun Gao. Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information. Wiley & Sons, Incorporated, John, 2013.

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27

Mohan, P. V. Ananda. VLSI Analog Filters: Active RC, OTA-C, and SC. Birkhäuser, 2012.

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28

VLSI Analog Filters: Active RC, OTA-C, and SC. Birkhäuser, 2012.

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29

United States. National Aeronautics and Space Administration., ed. A real-time algorithm for integrating differential satellite and inertial navigation information during helicopter approach. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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30

A real-time algorithm for integrating differential satellite and inertial navigation information during helicopter approach. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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31

United States. National Aeronautics and Space Administration., ed. A real-time algorithm for integrating differential satellite and inertial navigation information during helicopter approach. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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32

Martin, Graham R. The Sensory Ecology of Birds. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199694532.001.0001.

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The natural world contains a huge amount of constantly changing information. Limitations on, and specializations within, sensory systems mean that each species receives only a small part of that information. In essence, information is filtered by sensory systems. Sensory ecology aims to understand the nature and functions of those filters for each species and sensory system. Fluxes of information, and the perceptual challenges posed by different natural environments, are so large that sensory and behavioural specializations have been inevitable. There have been many trade-offs in the evolution of sensory capacities, and trade-offs and complementarity between different sensory capacities within species. Many behavioural tasks may have influenced the evolution of sensory capacities in birds, but the principal drivers have been associated with just two tasksforaging and predator detection. The key task is the control of the position and timing of the approach of the bill towards a target. Other tasks, such as locomotion and reproduction, are achieved within the requirements of foraging and predator detection. Information thatguides behaviours may often be sparse and partial and key behaviours may only be possible because of cognitive abilities which allow adequate interpretation of partial information. Human modifications of natural environments present perceptual challenges that cannot always be met by the information available to particular birds. Mitigations of the negative effects of human intrusions into natural environments must take account of the sensory ecology of the affected species. Effects of environmental changes cannot be understood sufficiently by viewing them through the filters of human sensory systems.
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33

Butz, Martin V., and Esther F. Kutter. Attention. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0011.

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Cognition does not work without attention. Attention enables us to focus on particular tasks and particular aspects in the environment. Psychological insights show that attention exhibits bottom-up and top-down components. Attention is attracted from the bottom-up towards unusual, exceptional, and unexpected sensory information. Top-down attention, on the other hand, filters information dependent on the current task-oriented expectations, which depend on the available generative models. This computational interpretation enables the explanation of conjunctive and disjunctive search. Different models of attention emphasize the importance of the unfolding interaction processes and a processing bottleneck can be detected. As a result, attention can be viewed as a dynamic control process that unfolds in redundant, neural fields, in which the selection of one interpretation and thus the processing bottleneck is strongest at the current focus of attention. The actual focus of attention itself is determined by the current behavioral and cognitive goals.
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34

An Emergent Theory of Digital Library Metadata: Enrich then Filter. Chandos Publishing, 2015.

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35

Pariser, Eli. Filter Bubble: Wie wir im Internet entmündigt werden. Hanser, Carl GmbH + Co., 2012.

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36

Readme! filtered by Nettime: ASCII culture and the revenge of knowledge. Brooklyn, NY: Autonomedia, 1999.

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37

Schomer, Donald L., Charles M. Epstein, Susan T. Herman, Douglas Maus, and Bruce J. Fisch. Recording Principles. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0005.

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This chapter reviews the technical aspects of recording and reviewing clinical electroencephalograms (EEGs) and related biopotentials. While advances in engineering technology have revolutionized EEG machines, the basic principles underlying accurate representation of brain activity are largely unchanged. The first section reviews the analog EEG components, and the second section discusses analog-to-digital conversion, digital filters, and display and storage parameters. Digital EEG machines are now less expensive and their capabilities far surpass those of analog machines. The third section reviews how electrode positions and systems of signal display (montages) can be used to determine the polarity and field of EEG signals. The final section describes how other biopotentials are acquired and displayed. Polygraphy can provide crucial information on other physiological processes that can impact EEG activity and can help identify potential artifactual signals. We highlight recent advances that allow the recording of a broader range of EEG frequencies and spatial distribution.
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38

Pariser, Eli. Filter Bubble: What the Internet Is Hiding from You. Penguin Books, Limited, 2012.

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39

The Filter Bubble: What the Internet Is Hiding from You. Penguin, 2011.

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40

Pollar, Odette. Crisp: Surviving Information Overload: How to Find, Filter, and Focus on What's Important (A Fifty-Minute Series Book). Crisp Learning, 2003.

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41

Boudreau, Joseph F., and Eric S. Swanson. Data modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0016.

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A variety of techniques for extracting information from data are presented, from pedestrian approaches such as the centuries old linear least-squares fit, to elegant binned and unbinned likelihood fits. A treatment of statistical combination of data leads to an introduction to the powerful Kalman filter approach, used to determine optimal estimates of deterministic-stochastic systems. In experimental physics the Kalman filter is used estimate trajectories from data, but it also finds applications in industrial process control, and in the aeronautics and robots industries. These techniques typically rely on either analytic or numerical optimization of an objective function. Orthogonal series density estimation, a Fourier technique, is also discussed.
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42

Iverson, Jennifer. Electronic Inspirations. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190868192.001.0001.

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Cold War electronic music—made with sine tone and white-noise generators, filters, and magnetic tape—was the driving force behind the evolution of both electronic and acoustic music in the second half of the twentieth century. Electronic music blossomed at the Westdeutscher Rundfunk (WDR [West German Radio]) in Cologne in the 1950s, when technologies were plentiful and the need for cultural healing was great. Building an electronic studio, West Germany confronted the decimation of the “Zero Hour” and began to rebuild its cultural prowess. The studio’s greatest asset was its laboratory culture, where composers worked under a paradigm of invisible collaboration with technicians, scientists, performers, intellectuals, and the machines themselves. Composers and their invisible collaborators repurposed military machinery in studio spaces that were formerly fascist broadcasting propaganda centers. Composers of Cold War electronic music reappropriated information theory and experimental phonetics, creating aesthetic applications from military discourses. In performing such reclamations, electronic music optimistically signaled cultural growth and progress, even as it also sonified technophobic anxieties. Electronic music—a synthesis of technological, scientific, and aesthetic discourses—was the ultimate Cold War innovation, and its impacts reverberate today.
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43

My Autistic Filter: An inside look at how one autistic person processes information Paperback – October 29, 2019. Independently published, 2019.

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44

Van Swol, Lyn M., and Andrew Prahl. Giving and Receiving Advice in Groups, Networks, and Organizations. Edited by Erina L. MacGeorge and Lyn M. Van Swol. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190630188.013.6.

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This chapter overviews research on giving and receiving advice and information in small decision-making groups and organizational groups and networks. It highlights how the tendency for group members to discuss information all members already know in common before the group discussion results in the underutilization of advice from group members who possess novel information. It also discusses how employees often filter advice with bad news, and how organizations can build transactive memory systems or advice networks about whom to consult for advice. Transactive memory system can help highlight from whom to seek advice and can improve organizational performance. The chapter concludes with best practices for researchers, decision makers, advisors, and organizational managers, with an emphasis on how structuring the group and identifying expertise can improve the use of advice in groups.
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45

Martin, Graham R. Postscript: Conclusions, Implications, and Comment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199694532.003.0010.

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The natural world contains a huge amount of constantly changing information but specializations within sensory systems mean that each species receives only a small part of that information. Information is filtered by sensory systems. We cannot assume what a bird can detect–it is important to measure its sensory capacities and to quantify the sensory challenges posed for the conduct of tasks in different environments. No sensory system can function adequately throughout the full ranges of stimuli that are found in the natural world. There have been many trade-offs in the evolution of particular sensory capacities and tradeoffs and complementarity between different sensory capacities within a species. Birds may often be guided by information at the limits of their sensory capacities. Information that guides behaviours may often be sparse and partial. Key behaviours may only be possible because of cognitive abilities which allow adequate interpretation of such partial information.
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46

Harry, Elizabeth, and John Sweller. Cognitive Load Theory and Patient Safety. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199366149.003.0002.

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Effective patient care depends on the ability to store and retrieve patient information and medical knowledge. All knowledge is either acquired from the environment or created de novo through trial and error. In either case, cues from the environment are filtered through working memory to attempt to guide action. Psychological principles such as resource theory and cognitive load theory suggest that humans have a limited amount of working memory that can be used to assimilate new information. When working memory is overloaded (i.e., cognitive overload), one’s attention is limited to fewer salient patient data pieces and one will naturally begin to ignore potentially crucial information. Cognitive overload can occur as a result of highly complex information, poorly organized information, distracting environments, or provider physiology. Attention to factors that lead to cognitive overload are critical in designing safe patient care systems.
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47

Fuchs, Judith, and Andreas Altenburger. Brachiopoda. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199233267.003.0036.

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This chapter describes the taxonomy of Brachiopoda, a phylum of exclusively marine, sessile, filter-feeding invertebrates. Brachiopods are meroplanktonik with a biphasic life cycle including planktonic larvae and sessile benthic adults. The chapter covers their life cycle, ecology, and general morphology. It includes a section that indicates the systematic placement of the taxon described within the tree of life, and lists the key marine representative illustrated in the chapter (usually to genus or family level). This section also provides information on the taxonomic authorities responsible for the classification adopted, recent changes which might have occurred, and lists relevant taxonomic sources.
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48

Kleespies, Phillip M. Training for Decision Making under the Stress of Emergency Conditions. Edited by Phillip M. Kleespies. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352722.013.3.

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When under time or procedure pressure, people change their decision-making strategies. They may accelerate information processing and filter the information they will process. In this chapter, the author presents several models for decision making under pressure and compares them to more traditional models. The naturalistic decision-making models are proposed as more appropriate for decision making when working with high-risk patients under emergency conditions. Given that it is often stressful for clinicians to evaluate and manage patients or clients who are considered at acute risk to themselves or others, the author presents a model for training to reduce stress that is based on Meichenbaum’s stress inoculation training. The chapter concludes with a discussion of the training for skill development and competence in dealing with behavioral emergencies that is consistent with the recommendations of the APA Task Force on the Assessment of Competence in Professional Psychology.
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49

Garrett, Merrill F. Exploring the Limits of Modularity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0003.

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Psycholinguistic studies of language processing have revolved historically around “modular” and “interactive” accounts of language use. Experimental reports diverge in claims for the penetration of non-linguistic background information on processing for sentence comprehension. Syntactic processing effects can persist despite available contextual constraints that are sufficient to resolve temporary ambiguity or garden path errors. Nevertheless, there are multiple reports of interactive effects between basic sentence processing and both semantic and non-linguistic contextual information. The chapter suggests a rationalization of such conflicting findings in standard psycholinguistic and experimental pragmatic research, relying on interactions between language comprehension systems and language production systems. Production processes are designed to incorporate discourse and environmental constraints on linguistic formulation. These may be used to filter the products of comprehension mechanisms. A key feature of the argument for complementary roles of the two systems is a degree of modular processing for syntax to be found in both systems.
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50

Sklar, Larry A., ed. Flow Cytometry for Biotechnology. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195183146.001.0001.

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Flow cytometry is a sensitive and quantitative platform for the measurement of particle fluorescence. In flow cytometry, the particles in a sample flow in single file through a focused laser beam at rates of hundreds to thousands of particles per second. During the time each particle is in the laser beam, on the order of ten microseconds, one or more fluorescent dyes associated with that particle are excited. The fluorescence emitted from each particle is collected through a microscope objective, spectrally filtered, and detected with photomultiplier tubes. Flow cytometry is uniquely capable of the precise and quantitative molecular analysis of genomic sequence information, interactions between purified biomolecules and cellular function. Combined with automated sample handling for increased sample throughput, these features make flow cytometry a versatile platform with applications at many stages of drug discovery. Traditionally, the particles studied are cells, especially blood cells; flow cytometry is used extensively in immunology. This volume shows how flow cytometry is integrated into modern biotechnology, dealing with issues of throughput, content, sensitivity, and high throughput informatics with applications in genomics, proteomics and protein-protein interactions, drug discovery, vaccine development, plant and reproductive biology, pharmacology and toxicology, cell-cell interactions and protein engineering.
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