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Книги з теми "Reconstruction du signal"

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Автор: Grafiati
Опубліковано: 14 червня 2023

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1

Beaumont, A. J. Signal reconstruction techniques for improved measurement of transient emissions. Warrendale, Pa: SAE International, 1990.

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2

Phase retrieval and zero crossings: Mathematical methods in image reconstruction. Dordrecht: Kluwer Academic Publishers, 1989.

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3

Petrović, Predrag. Digital Processing and Reconstruction of Complex AC Signals. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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4

Signal, Recovery and Synthesis Topical Meeting (4th 1992 New Orleans La ). Signal recovery and synthesis IV: Summaries of papers presented at the Signal Recovery and Synthesis Topical Meeting, April 14-15, 1992, New Orleans, Louisiana. Washington, DC: Optical Society of America, 1992.

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5

Schultz, Gerrit. Magnetic Resonance Imaging with Nonlinear Gradient Fields: Signal Encoding and Image Reconstruction. Wiesbaden: Springer Fachmedien Wiesbaden, 2013.

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6

Feng, Zhiqiang. A signal processing method for the acoustic image reconstruction of planar objects. Portsmouth: Portsmouth Polytechnic, Dept. of Electrical and Electronic Engineering, 1988.

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7

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

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8

Prabahan, Basu, ed. Information theoretic approaches to signal and image restoration. Bellingham, Wash: SPIE, 2011.

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9

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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10

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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11

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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12

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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13

Medical image processing, reconstruction, and restoration: Concepts and methods. Boca Raton, FL: Taylor & Francis, 2006.

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14

Yin, Xiaoxia. Terahertz Imaging for Biomedical Applications: Pattern Recognition and Tomographic Reconstruction. Boston, MA: Springer US, 2012.

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15

Signal Recovery and Synthesis Topical Meeting (5th 1995 Salt Lake City, Utah). Signal recovery and synthesis: Summaries of the papers presented at the topical meeting, Signal Recovery and Synthesis : March 14-15, 1995, Salt Lake City, Utah. Washington, DC: Optical Society of America, 1995.

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16

Chen, Li M. Digital Functions and Data Reconstruction: Digital-Discrete Methods. New York, NY: Springer New York, 2013.

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17

author, Feng Jiuchao 1964, and Xie Zhigang 1965-, eds. Chuan gan qi wang luo zhong de mang yuan fen li yu xin hao chong gou: Blind Source Separation and Signal Reconstruction in Sensor Networks. Beijing Shi: Dian zi gong ye chu ban she, 2012.

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18

America, Optical Society of, ed. Signal recovery and synthesis: Summaries of the papers presented at the topical meeting ... March 14-15, 1995, Salt Lake City, Utah. Washington, DC: The Society, 1995.

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19

Dudek, Conrad L. Evaluation of traffic control plans at reconstruction sites. College Station, Tex: Texas Transportation Institute, the Texas A&M University System, 1986.

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20

Petrović, Predrag, and Milorad Stevanović. Digital Processing and Reconstruction of Complex AC Signals. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03843-3.

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21

1958-, Marshall Stephen, Harvey Neal 1966-, and Shah Druti 1966-, eds. Noblesse Workshop on Non-linear Model Based Image Analysis: Proceedings, NMBIA, 1-3 July 1998, Glasgow. London: Springer, 1998.

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22

Tensors: Geometry and applications. Providence, R.I: American Mathematical Society, 2011.

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23

Amsler, Mark. The Medieval Life of Language. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463721929.

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Анотація:
The Medieval Life of Language: Grammar and Pragmatics from Bacon to Kempe explores the complex history of medieval pragmatic theory and ideas and metapragmatic awareness across social discourses. Pragmatic thinking about language and communication is revealed in grammar, semiotics, philosophy, and literature. Part historical reconstruction, part social history, part language theory, Amsler supplements the usual materials for the history of medieval linguistics and discusses the pragmatic implications of grammatical treatises on the interjection, Bacon’s sign theory, logic texts, Chaucer’s poetry, inquisitors’ accounts of heretic speech, and life-writing by William Thorpe and Margery Kempe. Medieval and contemporary pragmatic theory are contrasted in terms of their philosophical and linguistic orientations. Aspects of medieval pragmatic theory and practice, especially polysemy, equivocation, affective speech, and recontextualization, show how pragmatic discourse informed social controversies and attitudes toward sincere, vague, and heretical speech. Relying on Bakhtinian dialogism, critical discourse analysis, and conversation analysis, Amsler situates a key period in the history of linguistics within broader social and discursive fields of practice.
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24

Poberezhskiy, Yefim S., and Gennady P. Poberezhskiy. Signal Digitization and Reconstruction in Digital Radios. Artech House, 2018.

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25

Shipley, Kenton Allen. Signal reconstruction technique using trans-spectral coherence for signals with phase wobble. 1994.

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26

Petrovic, Predrag B., and Milorad R. Stevanovic. Digital Processing and Reconstruction of Complex Signals. Springer, 2014.

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27

Hurt, N. E. Phase Retrieval and Zero Crossings: Mathematical Methods in Image Reconstruction (Mathematics and Its Applications). Springer, 2001.

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28

Magnetic Resonance Imaging With Nonlinear Gradient Fields Signal Encoding And Image Reconstruction. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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29

Woodahl, Brian Arvid. On obtaining auto-spectral-density from non-uniformly sampled data using signal reconstruction. 1993.

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30

Jan, Jiri. Medical Image Processing, Reconstruction and Restoration: Concepts and Methods (Signal Processing and Communications). CRC, 2005.

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31

Jan, Jir. Medical Image Processing, Reconstruction and Restoration: Concepts and Methods. Signal Processing and Communications. Taylor & Francis Group, 2010.

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32

Signal recovery and synthesis IV: Summaries of papers presented at the Signal Recovery and Synthesis Topical Meeting, April 14-15, 1992, New Orleans, Louisiana (1992 technical digest series). Optical Society of America, 1992.

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33

National Aeronautics and Space Administration (NASA) Staff. Real-Time Sensor Validation, Signal Reconstruction, and Feature Detection for an RLV Propulsion Testbed. Independently Published, 2018.

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34

Abbott, Derek, Xiaoxia Yin, and Brian W. H. Ng. Terahertz Imaging for Biomedical Applications: Pattern Recognition and Tomographic Reconstruction. Springer, 2014.

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35

Volpi, Frédéric. Demobilization and Reconstruction of the Actors of the Uprisings. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190642921.003.0006.

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Анотація:
This chapter returns to the issue of routine governance in the post-uprisings context. It details the processes of re-institutionalization of new or reformed models of governance in the four North African countries. These processes underpin the construction of revised political consensuses that become embodied in the institutional reorganizations of the immediate post-uprisings period. At the same time, the chapter highlights the continuities in form of mobilization that keep challenging the legitimacy of the post-revolutionary state or reformed authoritarian system. The narrative is articulated around key events that signal a new acknowledgement of institutionalized forms of governance over earlier protest behaviors. In this context, the construction of ‘revolutionary’ and ‘reformist’ narratives serve to produce post-uprisings actors by breaching the gaps between plural understandings and experiences of the uprisings. The interactions between these revised practices and identities structure politics in the post-uprising states by naturalizing a new combination of democratic and authoritarian routines.
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36

America, Optical Society Of. Signal Recovery and Synthesis: Summaries of the Papers Presented at the Topical Meeting ... March 14-15, 1995, Salt Lake City, Utah (1995 Technical Digest Series). American Society of Civil Engineers, 1995.

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37

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Data Preprocessing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0006.

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Successful reconstruction of a shadow attractor provides preliminary empirical evidence that a signal isolated from observed time series data may be generated by deterministic dynamics. However, because we cannot reasonably expect signal processing to purge the signal of all noise in practice, and because noisy linear behavior can be visually indistinguishable from nonlinear behavior, the possibility remains that noticeable regularity detected in a shadow attractor may be fortuitously reconstructed from data generated by a linear-stochastic process. This chapter investigates how we can test this null hypothesis using surrogate data testing. The combination of a noticeably regular shadow attractor, along with strong statistical rejection of fortuitous regularity, increases the probability that observed data are generated by deterministic real-world dynamics.
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38

Mason, James, Raymond M. Brach, and Matthew Brach. Vehicle Accident Analysis and Reconstruction Methods. 3rd ed. SAE International, 2022. http://dx.doi.org/10.4271/9781468603453.

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Анотація:
In this third edition of Vehicle Accident Analysis & Reconstruction Methods, Raymond M. Brach and R. Matthew Brach have expanded and updated their essential work for professionals in the field of accident reconstruction. Most accidents can be reconstructed effectively using of calculations and investigative and experimental data: the authors present the latest scientific, engineering, and mathematical reconstruction methods, providing a firm scientific foundation for practitioners. Accidents that cannot be reconstructed using the methods in this book are rare. In recent decades, the field of crash reconstruction has been transformed through the use of technology. The advent of event data records (EDRs) on vehicles signaled the era of modern crash reconstruction, which utilizes the same physical evidence that was previously available as well as electronic data that are measured/captured before, during, and after the collision. There is increased demand for more professional and accurate reconstruction as more crash data is available from vehicle sensors. The third edition of this essential work includes a new chapter on the use of EDRs as well as examples using EDR data in accident reconstruction. Early chapters feature foundational material that is necessary for the understanding of vehicle collisions and vehicle motion; later chapters present applications of the methods and include example reconstructions. As a result, Vehicle Accident Analysis & Reconstruction Methods remains the definitive resource in accident reconstruction.
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39

Finkelstein, Sarah. Reconstructing Middle and Late Holocene Paleoclimates of the Eastern Arctic and Greenland. Edited by Max Friesen and Owen Mason. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199766956.013.6.

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Анотація:
The eastern Arctic and Greenland are characterized by diverse paleoclimatic histories. A range of biological, geochemical, and geophysical indicators preserved in ice cores, lake, and ocean sediments, landscape features, or boreholes can be applied to reconstructing Holocene climates over the period of human occupation. Soon after humans arrived in the eastern Arctic around 4800 cal B.P., regional temperatures began to decline. While the proxy records show a strong regional signal, this period of Neoglacial cooling has considerable local variability related to degree of continentality, sea ice conditions and elevation. Much later, the effect of the Medieval Warm Period (AD 850-1360) on the Thule migration appears to have been overstated. Because of the considerable spatiotemporal variability in available paleoclimate reconstructions from the eastern Arctic, data from multiple sites must be integrated, and for archaeological applications, regional syntheses need to be considered alongside highly local reconstructions.
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40

Nuri, Veyis. A theory for exactly reconstructing size-limited maximally decimated filter banks. 1993.

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41

Functions with Disconnected Spectrum: Sampling, Interpolation, Translates. American Mathematical Society, 2016.

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42

Zhao, Yun-Bin. Sparse Optimization Theory and Methods. Taylor & Francis Group, 2021.

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43

Sparse Optimization Theory and Methods. Taylor & Francis Group, 2018.

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44

Zhao, Yun-Bin. Sparse Optimization Theory and Methods. Taylor & Francis Group, 2018.

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45

Hilliges, Otmar. Input Recognition. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0004.

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Анотація:
Sensing of user input lies at the core of HCI research. Deciding which input mechanisms to use and how to implement them such that they work in a way that is easy to use, robust to various environmental factors and accurate in reconstruction of the users intent is a tremendously challenging problem. The main difficulties stem from the complex nature of human behavior which is highly non-linear, dynamic and context dependent and can often only be observed partially. Due to these complexities, research has turned its attention to data-driven techniques in order to build sophisticated and robust input recognition mechanisms. In this chapter we discuss the most important aspects that constitute data-driven signal analysis approaches. The aim is to provide the reader with an overall understanding of the process irrespective of the exact choice of sensor or machine learning algorithm.
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46

Marshall, Stephen, Noblesse Workshop on Non-Linear Model Based Image Analysis, Neal Harvey, and Druti Shah. Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of Nmbia, 1-3 July 1998, Glasgow. Springer-Verlag Telos, 1999.

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47

Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Entropy and Surrogate Testing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0005.

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Анотація:
Reconstructing real-world system dynamics from time series data on a single variable is challenging because real-world data often exhibit a highly volatile and irregular appearance potentially driven by several diverse factors. NLTS methods help eliminate less likely drivers of dynamic irregularity. We set a benchmark for regular behavior by investigating how linear systems of ODEs are restricted to exponential and periodic dynamics, and illustrating how irregular behavior can arise if regular linear dynamics are corrupted with noise or shift over time (i.e., nonstationarity). We investigate how data can be pre-processed to control for the noise and nonstationarity potentially camouflaging nonlinear deterministic drivers of observed complexity. We can apply signal-detection methods, such as Singular Spectrum Analysis (SSA), to separate signal from noise in the data, and test the signal for nonstationarity potentially corrected with SSA. SSA measures signal strength which provides a useful initial indicator of whether we should continue searching for endogenous nonlinear drivers of complexity. We begin diagnosing deterministic structure in an isolated signal by attempting to reconstructed a shadow attractor. Finally, we use the classic Lorenz equations to illustrate how a deterministic nonlinear system of ODEs with at least three equations can generate observed irregular dynamics endogenously without aid of exogenous shocks or nonstationary dynamics.
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48

Tensors: Asymptotic Geometry and Developments, 2016-2018. American Mathematical Society, 2019.

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49

Franko, Mark, ed. The Oxford Handbook of Dance and Reenactment. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199314201.001.0001.

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Анотація:
Starting from differences between reenactment and the more established practice of historical reconstruction, leading practitioners and theorists ask how the notion of preservation and representation associated with reconstruction is transformed by reenactment into historical experience and affective relation to the past in the present. In other terms: How does dance convey historical meaning through sensuous form? Danced reenactment poses the problem of history and historicity in relation to the troubled temporality inherent to dance itself. Ephemerality as the central trope of dance is hence displaced in favor of dance as a reiterative practice that confounds categories of chronological time and opens up a theoretical space of history that is often invisibilized by ideologies of immediacy traditionally attributed to dancing. The preponderance of the re- in contemporary choreographic creativity points to the operational value of reenactment in dance as synonymous with cultural production itself inasmuch as culture is engaged with the re-appropriation of signs, citationality, and intertextuality. Collectively, these chapters theorize choreographic reenactments’ potential not only to re-arrange the relationship between past, present, and future, but also to destabilize singular authorship, to unleash choreographies’ multiple meanings, to challenge the linearity of dance history, to rewrite and re-inscribe dance canons, and to the highlight the dancing body’s agentive status as archive.
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50

Greco, Francesco, and Paolo Fornara. Inflammation. Edited by Rob Pickard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0009.

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Fournier’s gangrene (FG) defines a life-threatening necrotizing fasciitis of the external genitalia and perineum with a peak incidence at 50 years of age. It is associated with a mixed bacterial infection with Escherichia coli and Bacteroides spp. predominating. The diagnosis is made clinically with symptoms of skin necrosis, swelling, pain, crepitus, and feculent odour, and local and systemic signs of severe sepsis. Initial resuscitation with fluid replacement, oxygen therapy, and broad-spectrum empirical antibiotics should be rapidly followed by complete and aggressive surgical debridement with postoperative placement of an occlusive dressing. Urinary and faecal diversions are often required. Debridement should be repeated until all necrotic tissue has been excised, allowing later reconstruction. Early diagnosis and immediate therapy is crucial to improve survival in patients with FG.
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