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Books on the topic 'Multiple input multiple output'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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1

Costa, Nelson, and Simon Haykin. Multiple-Input, Multiple-Output Channel Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470590676.

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2

Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.

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3

Costa, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.

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4

Burken, John J. Flight-determined stability analysis of multiple-input-multiple-output control systems. Edwards, Calif: Dryden Flight Research Facility, 1992.

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5

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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6

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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7

Glass, J. C. The achievement of scale efficiency in UK universities: A multiple-input multiple-output analysis. [Belfast]: Accounting and Finance Division, School of Finance and Information, Queen's University of Belfast, 1994.

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8

D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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9

D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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10

D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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11

Lang, Zi-Qiang. Evaluation of output frequency responses of nonlinear systems under multiple inputs. Sheffield: Univeristy of Sheffield, Dept. of Automatic Control and Systems Engineering, 1997.

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12

M, McGraw Sandra, and Langley Research Center, eds. The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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13

M, McGraw Sandra, and Langley Research Center, eds. The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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14

Aleksandrovich, Ki͡ullik Ėndelʹ, Bryce W. A. J, and Chalmers Robert Alexander, eds. Computerized multiple input chromatography. Chichester: E. Horwood, 1989.

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15

Anushree, Sinha, and National Council of Applied Economic Research., eds. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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16

Anushree, Sinha, and National Council of Applied Economic Research., eds. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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17

Anushree, Sinha, and National Council of Applied Economic Research., eds. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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18

Sinha, Anushree. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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19

Anushree, Sinha, and National Council of Applied Economic Research., eds. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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20

Anushree, Sinha, and National Council of Applied Economic Research., eds. Developing state level input-output tables: Multiplier analysis for Karnataka, Uttarakhand, and Jharkhand. New Delhi: National Council of Applied Economic Research, 2009.

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21

Statistics, Alberta Bureau of, ed. Economic multipliers for Alberta industries and commodities: Based on 1984 input-output tables. Edmonton, Alta: Alberta Bureau of Statistics, Alberta Treasury, 1991.

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22

Pyatt, Frank Graham. The method of apportionment and its application to multiplier models. Coventry: University of Warwick, Development Economics Research Centre, 1988.

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23

Statistics, Alberta Bureau of. Economic multipliers for Alberta industries and commodities: (based on 1984 input-output tables). Edmonton, Alta: Alberta Bureau of Statistics, Alberta Treasury, 1991.

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24

Campbell, Lorraine Nicola. Helping children to identify multiple interpretations of ambiguous input. Birmingham: University of Birmingham, 1996.

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25

United States. Department of Agriculture. Economic Research Service, ed. The Food Assistance National Input-Output Multiplier (FANIOM) model and stimulus effects of SNAP. Washington, D.C.]: U.S. Dept. of Agriculture, Economic Research Service, 2010.

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26

Wall, Charles A. Modelling a multiple output production system: Supply response in the Australian sheep industry. [Sydney]: University of Sydney, Dept. of Agricultural Economics, 1987.

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27

Rahiala, Markku. On the identification and estimation of multiple input transfer function models with autocorrelated errors. Helsinki: Research Institute of the Finnish Economy, 1985.

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28

Park, Beomjin. Channel estimation in multiple-input multiple-output systems. 2004.

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29

Haykin, Simon, and Nelson Costa. Multiple-Input Multiple-Output Channel Models: Theory and Practice. Wiley & Sons, Incorporated, John, 2010.

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30

Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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31

Flight-determined stability analysis of multiple-input-multiple-output control systems. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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32

Lapiccirella, Giovanni, and Darmstadt Fraunhofer LBF. Analysis and Design of Efficient Multiple-Input Multiple-output Broadband Active Vibration Control Systems. Fraunhofer IRB Verlag, 2020.

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33

Patnaik, Amalendu, Jagannath Malik, and M. V. Kartikeyan. Compact Antennas for High Data Rate Communication: Ultra-wideband and Multiple-Input-Multiple-Output Technology. Springer, 2018.

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34

Patnaik, Amalendu, Jagannath Malik, and M. V. Kartikeyan. Compact Antennas for High Data Rate Communication: Ultra-wideband and Multiple-Input-Multiple-Output Technology. Springer, 2017.

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35

An Investigation of a Multiple-Input-Multiple-Output Communication System With the Alamouti Space-Time Code. Storming Media, 2004.

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36

Simulation Performance of Multiple-Input Multiple-Output Systems Employing Single-Carrier Modulation and Orthogonal Frequency Division Multiplexing. Storming Media, 2004.

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37

Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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38

Hybrid Intra-Cell/inter-cell Remote Unit Antenna Bonding in Multiple-input, Multiple-output Distributed Antenna Systems: United States Patent 9979444. Independently Published, 2020.

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39

The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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40

Tan, Siew-Chong, Ron Hui, Albert Ting Leung Lee, and Weijian Jin. Single-Inductor Multiple-output Converters. Taylor & Francis Group, 2021.

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41

Tan, Siew-Chong, Ron Hui, Albert Ting Leung Lee, and Weijian Jin. Single-Inductor Multiple-output Converters. Taylor & Francis Group, 2021.

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42

Hasenkamp, G. Specification and Estimation of Multiple-Output Production Functions. Springer London, Limited, 2012.

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43

Greenwald, Margaret L. Wernicke’s Aphasia: Auditory Processing and Comprehension. Edited by Anastasia M. Raymer and Leslie J. Gonzalez Rothi. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199772391.013.5.

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This chapter includes a discussion of the symptoms of Wernicke’s aphasia, including impaired auditory comprehension and neologistic verbal expression. Anosognosia, impaired attention, and impaired self-monitoring are discussed as they relate to Wernicke’s aphasia. Current evidence of the neuroanatomical correlates of Wernicke’s aphasia and the role of Wernicke’s area is presented from a variety of experimental perspectives. Theoretical approaches to understanding impaired auditory processing in Wernicke’s aphasia are discussed in relation to perception, recognition, and comprehension of speech. Methods for the assessment and interpretation of receptive and expressive language in Wernicke’s aphasia and jargon aphasia are described within the context of a cognitive model depicting multiple input modalities and output modes of language. Finally, current methods for the treatment and management of Wernicke’s aphasia are reviewed, with an emphasis on evidence-based practice.
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44

Tan, Siew-Chong, Albert Ting Leung Lee, Weijian Jin, and Ron Shu Yuen Hui. Single-Inductor Multiple-Output Converters: Topologies, Implementation, and Applications. Taylor & Francis Group, 2021.

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45

Tan, Siew-Chong, Albert Ting Leung Lee, Weijian Jin, and Ron Shu Yuen Hui. Single-Inductor Multiple-Output Converters: Topologies, Implementation, and Applications. Taylor & Francis Group, 2021.

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46

Single-Inductor Multiple-Output Converters: Topologies, Implementation, and Applications. Taylor & Francis Group, 2021.

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47

Beninger, Richard J. Multiple memory systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824091.003.0004.

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Multiple memory systems describes how memories can be declarative or non-declarative; incentive learning produces one type of non-declarative memory. Patients with bilateral hippocampal damage have declarative memory deficits (amnesia) but intact non-declarative memory; patients with striatal dysfunction, for example, Parkinson’s patients who lose striatal dopamine have impaired incentive learning but intact declarative memory. Rats with lesions of the fornix (hippocampal output pathway), but not lesions of the dorsal striatum, have impaired spatial (declarative) memory; rats with lesions of the dorsal striatum, but not fornix, have impaired stimulus–response memory that relies heavily on incentive learning. These memory systems possibly inhibit one another to control responding: in rats, a group that received fornix lesions and had impaired spatial learning did better on an incentive task; in humans, hippocampus damage was associated with improvement on an incentive learning task and striatal damage was associated with increased involvement of the hippocampus in a route-recognition task.
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48

Zhu, Yang, and Miroslav Krstic. Delay-Adaptive Linear Control. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691202549.001.0001.

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Actuator and sensor delays are among the most common dynamic phenomena in engineering practice, and when disregarded, they render controlled systems unstable. Over the past sixty years, predictor feedback has been a key tool for compensating such delays, but conventional predictor feedback algorithms assume that the delays and other parameters of a given system are known. When incorrect parameter values are used in the predictor, the resulting controller may be as destabilizing as without the delay compensation. This book develops adaptive predictor feedback algorithms equipped with online estimators of unknown delays and other parameters. Such estimators are designed as nonlinear differential equations, which dynamically adjust the parameters of the predictor. The design and analysis of the adaptive predictors involves a Lyapunov stability study of systems whose dimension is infinite, because of the delays, and nonlinear, because of the parameter estimators. This book solves adaptive delay compensation problems for systems with single and multiple inputs/outputs, unknown and distinct delays in different input channels, unknown delay kernels, unknown plant parameters, unmeasurable finite-dimensional plant states, and unmeasurable infinite-dimensional actuator states. Presenting breakthroughs in adaptive control and control of delay systems, the book offers powerful new tools for the control engineer and the mathematician.
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49

Gelman, Andrew, and Deborah Nolan. Multiple regression and nonlinear models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0010.

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This chapter covers multiple regression and links statistical inference to general topics such as lurking variables that arose earlier. Many examples can be used to illustrate multiple regression, but we have found it useful to come to class prepared with a specific example, with computer output (since our students learn to run the regressions on the computer). We have found it is a good strategy to simply use a regression analysis from some published source (e.g., a social science journal) and go through the model and its interpretation with the class, asking students how the regression results would have to differ in order for the study’s conclusions to change. The chapter includes examples that revisit the simple linear model of height and income, involve the class in models of exam scores, and fit a nonlinear model (for more advanced classes) for golf putting.
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50

Takewaki, Izuru, ed. Evaluation of Building Resilience under Earthquake Input Using Single, Double and Multiple Impulses. Frontiers Media SA, 2017. http://dx.doi.org/10.3389/978-2-88945-270-5.

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