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Books on the topic 'Signal segmentation'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118908686.

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2

Kato, Zoltan, and Josiane Zerubia. Markov Random Fields in Image Segmentation. Now Publishers, 2012.

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3

Wang, Xiaogang. Deep Learning in Object Recognition, Detection, and Segmentation. Now Publishers, 2016.

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4

Choi, Haan-Go. Multiresolution segmentation methodology for respiratory electromyographic signals. 1992.

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5

Joao Paulo do Vale Madeiro, Paulo Cesar Cortez, José Maria Da Silva Monteiro Filho, and Angelo Roncalli Alencar Brayner. Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition. Elsevier Science & Technology Books, 2018.

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6

Joao Paulo do Vale Madeiro, Paulo Cesar Cortez, José Maria Da Silva Monteiro Filho, and Angelo Roncalli Alencar Brayner. Developments and Applications for ECG Signal Processing: Modeling, Segmentation, and Pattern Recognition. Elsevier Science & Technology, 2018.

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7

Ngan, King Ngi, and Hongliang Li. Video Segmentation and Its Applications. Springer, 2011.

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8

Ngan, King Ngi, and Hongliang Li. Video Segmentation and Its Applications. Springer, 2014.

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9

Ngan, King Ngi, and Hongliang Li. Video Segmentation and Its Applications. Springer, 2011.

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10

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals: The Stockwell Transform Applied on Bio-signals and Electric Signals. Wiley-Interscience, 2014.

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11

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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12

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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13

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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14

Moukadem, Ali, Djaffar Ould Abdeslam, and Alain Dieterlen. Time-Frequency Domain for Segmentation and Classification of Non-Stationary Signals: The Stockwell Transform Applied on Bio-Signals and Electric Signals. Wiley & Sons, Incorporated, John, 2014.

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15

Wigmans, Richard. Instrumental Aspects. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786351.003.0005.

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This chapter deals with the practical aspects of designing, building and operating calorimeters. These aspects concern the structure of the detector (longitudinal and lateral segmentation, projective towers, hermeticity of 4π‎ devices), the readout of calorimeters based on detection of either light or charge signals, the operation in a magnetic field or at high luminosity, and the effects of radiation damage and how to deal with these. Also discussed are procedures for handling the signals, and using these to create triggers that may be used to select events of interest. Auxiliary equipment th

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16

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

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17

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

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18

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

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19

Jockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.

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This chapter demonstrates how big data and computation can be used to identify and track recurrent themes as the products of external influence. It first considers the limitations of the Google Ngram Viewer as a tool for tracing thematic trends over time before turning to Douglas Biber's Corpus Linguistics: Investigating Language Structure and Use, a primer on various factors complicating word-focused text analysis and the subsequent conclusions one might draw regarding word meanings. It then discusses the results of the author's application of latent Dirichlet allocation (LDA) to a corpus of

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20

Lorino, Philippe. Pragmatism, a process perspective on organizations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753216.003.0009.

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Mainstream organization studies have long conceptualized organizations as structures imposing order on individual and collective practices. Many organization scholars see organizing as an ongoing process, given the ceaseless adaptative experience of organizations. After an account of the “process turn” in organization studies, this chapter identifies six key questions about the characteristics of organizing processes and analyzes the process orientation of pragmatism and the specific contribution of the main pragmatist thinkers to process thought. It clarifies the pragmatist responses to the s

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