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Books on the topic 'Acoustic identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Helwani, Karim. Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08954-6.

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2

Banks, H. Thomas. Parameter estimation in a structural acoustic system with fully nonlinear coupling conditions. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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3

C, Smith R., and Institute for Computer Applications in Science and Engineering., eds. Parameter estimation in a structural acoustic system with fully nonlinear coupling conditions. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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4

Healey, Anthony J. Sonar signal acquisition and processing for identification and classification of ship hull fouling. Naval Postgraduate School, 1993.

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5

Farren, Maureen A. Some experiments with underwater acoustic returns from cylinders relative to object identification for AUV operation. Naval Postgraduate School, 1988.

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6

United States. Bureau of Mines, ed. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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7

Hanson, David R. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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8

Hanson, David R. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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9

Hanson, David R. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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10

Hanson, David R. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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11

Hanson, David R. Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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12

Fuller, C. R. Application of pattern recognition techniques to the identification of aerospace acoustic sources: Annual report, year one. National Aeronautics and Space Administration, 1988.

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13

Ahgren, Per. On System Identification And Acoustic Echo Cancellation. Coronet Books, 2004.

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14

Helwani, Karim. Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations. Springer, 2014.

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15

Helwani, Karim. Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations. Springer, 2014.

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16

Helwani, Karim. Adaptive Identification of Acoustic Multichannel Systems Using Sparse Representations. Springer, 2016.

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17

Liu, Pengfei. Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades. Elsevier, 2023.

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18

Liu, Pengfei. Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades. Elsevier, 2023.

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19

Liu, Pengfei. Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades. Elsevier, 2023.

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20

Multiple-channel trigger circuit for noise discrimination in ultrasonic acoustic emission studies. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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21

Nagl, Michael Martin. Identification of the mechanism of oxide scale fracture, and its correlation with strain using acoustic emission. 1992.

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22

Recasens, Daniel. Phonetic Causes of Sound Change. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198845010.001.0001.

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The present study sheds light on the phonetic causes of sound change and the intermediate stages of the diachronic pathways by studying the palatalization and assibilation of velar stops (referred to commonly as ‘velar softening’, as exemplified by the replacement of Latin /ˈkɛntʊ/ by Tuscan Italian [ˈtʃɛnto] ‘one hundred’), and of labial stops and labiodental fricatives (also known as’ labial softening’, as in the case of the dialectal variant [ˈtʃatɾə] of /ˈpjatɾə/ ‘stone’ in Romanian dialects). To a lesser extent, it also deals with the palatalization and affrication of dentoalveolar stops.

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23

Russ, Jon, ed. Bat Calls of Britain and Europe. Pelagic Publishing, 2021. http://dx.doi.org/10.53061/nlhc3923.

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A comprehensive guide to the calls of the 44 species of bat currently known to occur in Europe. Following on from the popular British Bat Calls by Jon Russ, this new book draws on the expertise of more than forty specialist authors to substantially update all sections, further expanding the volume to include sound analysis and species identification of all European bats. Aimed at volunteers and professional alike, topics include the basics of sound, echolocation in bats, an introduction to acoustic communication, equipment used and call analysis. For each species, detailed information is given

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24

Horing, Norman J. Morgenstern. Superfluidity and Superconductivity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0013.

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Chapter 13 addresses Bose condensation in superfluids (and superconductors), which involves the field operator ψ‎ having a c-number component (<ψ(x,t)>≠0), challenging number conservation. The nonlinear Gross-Pitaevskii equation is derived for this condensate wave function<ψ>=ψ−ψ˜, facilitating identification of the coherence length and the core region of vortex motion. The noncondensate Green’s function G˜1(1,1′)=−i<(ψ˜(1)ψ˜+(1′))+> and the nonvanishing anomalous correlation function F˜∗(2,1′)=−i<(ψ˜+(2)ψ˜+(1′))+> describe the dynamics and elementary excitations of the

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