Relevant bibliographies by topics / Acoustic sensors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Acoustic sensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Acoustic sensors"

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A. Rakeshwar, A. Saravanakumar, and K. Senthilkumar. "Motion Parameter Estimation of Low Flying UAV using Acoustic Sensor." ACS Journal for Science and Engineering 4, no. 1 (2024): 83–88. http://dx.doi.org/10.34293/acsjse.v4i1.107.

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The field of acoustics is emerging as a significant supplementary modality that should be investigated and utilized in the development of intelligence and surveillance systems. These systems often depend on technology that is rooted in the singularity of electromagnetic fields. Acoustic sensors are preferred because of their affordability, robustness, and small size. They are also passive. Furthermore, sound energy can go beyond a line of sight. The current scenario can be used to the detection and localization of sound sources utilizing Unmanned Aerial Vehicle (UAV) and ground-based Acoustic
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Chen, Qi-Chao, Wei-Chao Zhang, and Hong Zhao. "Response Bandwidth Design of Fabry-Perot Sensors for Partial Discharge Detection Based on Frequency Analysis." Journal of Sensors 2019 (November 18, 2019): 1–11. http://dx.doi.org/10.1155/2019/1026934.

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The insulation of power equipment can be effectively assessed by analyzing the acoustic signals originated from partial discharges (PD). Fabry-Perot (F-P) sensors are capable of detecting PD acoustic signals. Although the frequency bandwidth of an F-P sensor is mainly referred to conventional piezoelectric transducer (PZT) sensor, it is still doubtful to identify a suitable bandwidth for fiber sensors in detection of PD signals. To achieve a suitable bandwidth for an F-P sensor, the frequency distribution of PD acoustic emission is investigated, and an extrinsic F-P sensor is designed to detec
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Rao, Wei, Yuanqing Li, and Dan Li. "Hybrid T-Shaped Sensor Array Composed of Acoustic Vector Sensors and Scalar Sensors." Electronics 12, no. 8 (2023): 1813. http://dx.doi.org/10.3390/electronics12081813.

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Through the more available acoustic information or the polarization information provided, vector sensor arrays outperform the scalar sensor arrays in accuracy of localization. However, the cost of a vector sensor array is higher than that of a scalar sensor array. To reduce the cost of a two-dimensional (2-D) vector sensor array, a hybrid T-shaped sensor array consisting of two orthogonal uniform linear arrays (ULAs) is proposed, where one ULA is composed of acoustic vector sensors and the other is composed of scalar sensors. By utilizing the cross-correlation tensor between the received signa
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Wang, Ning, Hong Wei Quan, and Xiu Yin Xue. "A Method to Multi-Sensor Networking for Target Tracking." Applied Mechanics and Materials 533 (February 2014): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amm.533.207.

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The acoustic sensor networking is an important research topic in multi-sensor target tracking system. An acoustic sensor network consists of multiple acoustic sensors which are located in fixed positions with specific deployment mode. It can improve the robustness and fault-tolerance of the target tracking system, especially when a single or few sensors do not work normally with some faults. This paper discusses the acoustic sensor detection model and gives a method to sensor deployment for target detection in target tracking system.
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Liu, Fen, Rui Guo, Xiujuan Lin, et al. "Influence of Propagation Distance on Characteristic Parameters of Acoustic Emission Signals in Concrete Materials Based on Low-Frequency Sensor." Advances in Civil Engineering 2022 (June 6, 2022): 1–14. http://dx.doi.org/10.1155/2022/7241535.

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Acoustic emission is a nondestructive testing technology based on the propagation of transient elastic waves captured by acoustic emission sensors. The acoustic emission signal depends not only on the distance and quality of the propagation path of the transient elastic wave but also on the sensitivity and frequency bandwidth of the receiving sensor that converts the transient elastic wave into a voltage signal. The frequency range of damage signals in concrete materials is generally in the low-frequency band. If high-frequency sensors are used, the low sensitivity to low-frequency signals wil
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Ozevin, Didem. "MEMS Acoustic Emission Sensors." Applied Sciences 10, no. 24 (2020): 8966. http://dx.doi.org/10.3390/app10248966.

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This paper presents a review of state-of-the-art micro-electro-mechanical-systems (MEMS) acoustic emission (AE) sensors. MEMS AE sensors are designed to detect active defects in materials with the transduction mechanisms of piezoresistivity, capacitance or piezoelectricity. The majority of MEMS AE sensors are designed as resonators to improve the signal-to-noise ratio. The fundamental design variables of MEMS AE sensors include resonant frequency, bandwidth/quality factor and sensitivity. Micromachining methods have the flexibility to tune the sensor frequency to a particular range, which is i
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M, Meshram Devendra, and Pushpa Mala S. "Acoustic Modality in Passive Detection Technology." Defence Science Journal 75, no. 1 (2025): 10–18. https://doi.org/10.14429/dsj.20038.

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Utilising the acoustic modality for passive detection and localisation of low-flying aircraft and gunshots is vital for border security and situational awareness. This paper presents a comprehensive experimental approach for detecting and estimating the direction of arrival of a single acoustic source using a single vector sensor and two different algorithms: acoustic intensity and velocity covariance. The study includes a thorough comparison of both algorithms for the direction of arrival estimation of a stationary continuous sound source, a hovering drone, and a propeller-driven two-seater m
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M, Meshram Devendra, and Pushpa Mala S. "Acoustic Modality in Passive Detection Technology." Defence Science Journal 75, no. 1 (2025): 10–18. https://doi.org/10.14429/dsj.75.20038.

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Utilising the acoustic modality for passive detection and localisation of low-flying aircraft and gunshots is vital for border security and situational awareness. This paper presents a comprehensive experimental approach for detecting and estimating the direction of arrival of a single acoustic source using a single vector sensor and two different algorithms: acoustic intensity and velocity covariance. The study includes a thorough comparison of both algorithms for the direction of arrival estimation of a stationary continuous sound source, a hovering drone, and a propeller-driven two-seater m
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Sessler, G. M. "Acoustic sensors." Sensors and Actuators A: Physical 26, no. 1-3 (1991): 323–30. http://dx.doi.org/10.1016/0924-4247(91)87011-q.

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Nakamura, Kentaro. "Acoustic Sensors." IEEJ Transactions on Sensors and Micromachines 122, no. 4 (2002): 187–92. http://dx.doi.org/10.1541/ieejsmas.122.187.

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Dissertations / Theses on the topic "Acoustic sensors"

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Fernandes, Hugo Manuel Espinho Lebre. "Acoustic smart sensors." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/22734.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Nowadays buildings are being progressively integrated with an increasing number of sensors . Most of the times this sensors have quite speci c functions, butane sensors, propane sensors, carbon monoxide sensors, pyroelectric motion sensors, and this is what limits their eld of action. Introducing a certain level of autonomy to a sensor, i.e., send, process and receiving information can increase the interactivity and market attractiveness of a building. Within this point of view, and over-viewing the building conjuncture, it can b
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Evans, Carl Richard. "Layer guided acoustic wave sensors." Thesis, Nottingham Trent University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442338.

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Avila, Gomez Adrian Enrique. "Development MEMS Acoustic Emission Sensors." Scholar Commons, 2017. https://scholarcommons.usf.edu/etd/7392.

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The purpose of this research is to develop MEMS based acoustic emission sensors for structural health monitoring. Acoustic emission (AE) is a well-established nondestructive testing technique that is typically used to monitor for fatigue cracks in structures, leaks in pressurized systems, damages in composite materials or impacts. This technology can offer a precise evaluation of structural conditions and allow identification of imminent failures or minor failures that can be addressed by planned maintenances routines. AE causes a burst of ultrasonic energy that is measured as high frequency s
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Fabrice, Martin. "Layer guided shear acoustic wave sensors." Thesis, Nottingham Trent University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251224.

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Kaplan, Emrah. "Surface acoustic wave enhanced electroanalytical sensors." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6557/.

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In the last decade, miniaturised “lab-on-a-chip” (LOC) devices have attracted significant interest in academia and industry. LOC sensors for electrochemical analysis now commonly reach picomolar in sensitivities, using only microliter-sized samples. One of the major drawbacks of this platform is the diffusion layer that appears as a limiting factor for the sensitivity level. In this thesis, a new technique was developed to enhance the sensitivity of electroanalytical sensors by increasing the mass transfer in the medium. The final device design was to be used for early detection of cancer dise
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Fuller, Ryan Michael. "Adaptive Noise Reduction Techniques for Airborne Acoustic Sensors." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1355361066.

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O'Neill, Sean Francis. "Optical methods of acoustic detection." Thesis, University of Kent, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270811.

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Messing, David P. (David Patrick) 1979. "Noise suppression with non-air-acoustic sensors." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87444.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (leaves [74]-[75]).<br>by David P. Messing.<br>S.M.
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Atherton, S. "Semen quality detection using acoustic wave sensors." Thesis, Nottingham Trent University, 2011. http://irep.ntu.ac.uk/id/eprint/233/.

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Artificial insemination (AI) is a widely used part of the modern agricultural industry, with the number of animals inseminated globally being measured in the millions per anum. Crucial to the success of AI is that the sperm sample used is of a high Quality. Two factors which determine the quality of the sample are the number of sperm present and their motility. There are numerous methods used to analyse the quality of a sperm sample, but these are generally laboratory based, expensive and in need of a skilled operator to perform the analysis. It would, therefore be useful to have a simple and
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Neelisetti, Raghu Kisore Lim Alvin S. "Improving reliability of wireless sensor networks for target tracking using wireless acoustic sensors." Auburn, Ala., 2009. http://hdl.handle.net/10415/1931.

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Books on the topic "Acoustic sensors"

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Dey, Nilanjan, Amira S. Ashour, Waleed S. Mohamed, and Nhu Gia Nguyen. Acoustic Sensors for Biomedical Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92225-6.

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Stephen, Ballantine David, ed. Acoustic wave sensors: Theory, design, and physico-chemical applications. Academic Press, 1997.

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Deng, Zhiping. Acoustic wave sensors for aroma components using conducting polymer films. National Library of Canada = Bibliothèque nationale du Canada, 1997.

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C, Stone David, ed. Surface-launched acoustic wave sensors: Chemical sensing and thin-film characterization. Wiley, 1997.

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Parrott, Tony L. Pressure probe and hot-film probe response to acoustic excitation in mean flow. Langley Research Center, 1986.

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Glennie, Derek John. Fiber optic sensors for the detection of surface acoustic waves on metals. University of Toronto, [Institute for Aerospace Studies], 1993.

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United States. National Aeronautics and Space Administration., ed. Detection of in-plane displacements of acoustic wave fields using extrinsic Fizeau fiber interferometric sensors. National Aeronautics and Space Administration, 1991.

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Ferguson, Suzanne Marie. The detection of damage induced acoustic emission in advanced composite materials using embedded optical fibre sensors. National Library of Canada, 1990.

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Chiu, Foun Ling. Network analysis method applied to the studies of protein absorption on the thickness-shear wave mode acoustic wave sensors. National Library of Canada, 1993.

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Xiao, Yang. Underwater acoustic sensor networks. Auerbach Publications, 2010.

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Book chapters on the topic "Acoustic sensors"

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Fischerauer, Gerhard, A. Mauder, and R. Müller. "Acoustic Wave Devices." In Sensors. Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620180.ch5.

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Fraden, Jacob. "Acoustic Sensors." In Handbook of Modern Sensors. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6466-3_12.

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Dey, Nilanjan, Amira S. Ashour, Waleed S. Mohamed, and Nhu Gia Nguyen. "Acoustic Sensors." In SpringerBriefs in Speech Technology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92225-6_4.

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Sharapov, Valeriy. "Electro-acoustic Transducers." In Piezoceramic Sensors. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15311-2_12.

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Fries, David, and William Kirkwood. "Non-Acoustic Sensors." In Springer Handbook of Ocean Engineering. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16649-0_18.

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Bane, Gary L. "U.U.V. Acoustic Sensors." In Ocean Resources. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2133-7_10.

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Gautschi, Gustav. "Acoustic Emission Sensors." In Piezoelectric Sensorics. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04732-3_10.

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Caliendo, C., E. Verona, and A. D’Amico. "Surface Acoustic Wave (SAW) Gas Sensors." In Gas Sensors. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2737-0_8.

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Martin, J. F., K. Marsh, J. M. Richardson, and G. Rivera. "Acoustic Imaging in Three Dimensions." In Sensors and Sensory Systems for Advanced Robots. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83410-3_16.

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Hering, Ekbert. "Acoustic Measured Variables." In Sensors in Science and Technology. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-34920-2_9.

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Conference papers on the topic "Acoustic sensors"

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Badillo, Diego, and Marcelo A. Soto. "Acoustic Source Localisation Based on Distributed Acoustic Sensing and Sequential Least Squares Programming." In Optical Sensors. Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.sf4c.4.

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A method based on beamforming and sequential least squares programming is proposed for acoustic source localisation using fibre-optic distributed acoustic sensors. The method is experimentally validated and compared with another state-of-the-art approach.
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Canudo, Jorge, Pascual Sevillano, Javier Preciado-Garbayo, et al. "Smart Traffic Monitoring based on Chirped-Pulse Distributed Acoustic Sensing." In Optical Sensors. Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.sf5a.2.

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Distributed fiber optic sensing technology has emerged as a cost-effective solution to infrastructure monitoring where real-time measurements of high spatial resolution are required, such as road traffic infrastructures. By monitoring vibrations induced by vehicles via CP-ΦOTDR technique, information about single vehicles and road status can be obtained in real-time.
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Maini, Lucrezia, Roman Furrer, Christofer Hierold, and Cosmin Roman. "Passive Acoustic Temperature Sensor Characterization with Animal Tissue." In 2024 IEEE SENSORS. IEEE, 2024. https://doi.org/10.1109/sensors60989.2024.10784938.

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Li, Jie, Mingchao Sun, Boyun Zhang, et al. "Effects of Acoustic Leakage on MEMS Directional Microphones." In 2024 IEEE SENSORS. IEEE, 2024. https://doi.org/10.1109/sensors60989.2024.10784848.

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Gonzalez-Herraez, Miguel, Maximilian Schaedler, Javier Preciado-Garbayo, et al. "Analysis of Surface Waves in trackside dark fibers using Distributed Acoustic Sensing (DAS)." In Optical Sensors. Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.stu3c.2.

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The application of array seismology methods in Distributed Acoustic Sensing data gathered in trackside fibers can provide a significant amount of information on the terrain features and the railway superstructure.
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Lau, Kingsley, Ivan Lasa, Madjid Belkerdid, and Mark Haines. "Application of Surface Acoustic Wave Sensors for Corrosion Monitoring of Steel in Concrete." In CORROSION 2012. NACE International, 2012. https://doi.org/10.5006/c2012-01737.

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Abstract Corrosion monitoring of steel-reinforced concrete structures with embedded sensors require sensor operations lasting several decades. Many corrosion sensors use probes of material similar to the reinforcing metal that require routing electrical wires to the concrete exterior that may degrade or become damaged. Other sensors require electrochemical electrodes that degrade in time or require recalibration. Surface acoustic wave (SAW) sensors have been developed and have been presented for application in corrosion monitoring of steel-reinforced concrete structures. SAW sensors are wirele
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Maupin, David B., Christopher M. Dumm, George E. Klinzing, Carey D. Balaban, and Jeffrey S. Vipperman. "Microscopic Optical Acoustic Sensors for Intracranial Measurements." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-96139.

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Abstract Optical acoustic sensors provide a potential means for making accurate intracranial pressure measurements. Complex cranial geometries consisting of bone, tissue, and fluid filled spaces pose problematic conditions for the use of conventional acoustic sensors. This research investigates the potential limitations of previously devised optical acoustic sensors in addition to introducing a novel procedure utilizing micro-scale additive manufacturing to fabricate such sensors with a bandwidth on the order of 20kHz to 200kHz. The significance of individual parameters describing the sensor g
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Crickmore, R. I., C. Minto, A. Godfrey, and R. Ellwood. "Quantitative Underwater Acoustic Measurements Using Distributed Acoustic Sensing." In Optical Fiber Sensors. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofs.2022.w4.15.

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Detection of surface and underwater targets was carried out using distributed acoustic sensing on the seabed fibre optic cables at a depth of ~180m. The cable’s pressure responsivity was measured and beamforming was demonstrated
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Sasikumar, Neethu, Anand V P, Ranjith V R, Deepa Venkitesh, and Balaji Srinivasan. "Distributed Acoustic Sensor based on Coherent Detection with Low Detection Bandwidth and Reduced Fading." In Optical Fiber Sensors. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofs.2023.w4.28.

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This article discusses a Distributed Acoustic Sensing (DAS) configuration based on coherent detection to detect acoustics using low bandwidth receivers at a reduced sampling rate of 100 Msps in baseband with inherent offset correction and low fading.
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Chen, George Y., Gilberto Brambilla, and Trevor P. Newson. "An optical microfiber acoustic sensor." In Optical Sensors. OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.st5b.2.

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Reports on the topic "Acoustic sensors"

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Schoor, Dr Markthinus van. DTRS57-04-C-10016 Piezo Structural Acoustic Pipeline Leak Detection System. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0011892.

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Describes structural-acoustic sensing and alert systems that continuously monitor a pipeline without the need for external power. When bonded to a pipeline, these sensors can detect minute and high-frequency strains. The specific focus here is on identifying leaks using this sensor by detecting associated acoustic waves traveling in the pipeline.
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Hammon, David S. Optimal Deployment of Drifting Acoustic Sensors. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada573166.

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Dennis, John A., Tim A. Patterson, and Ilya Schiller. Frequency Domain Signal Processing for Acoustic Sensors. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada375309.

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Daw, Joshua, and Bibo Zhong. Development Plan for Acoustic Emission and Vibration Sensors. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2341773.

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Kozick, Richard J., and Brian M. Sadler. Tracking Moving Acoustic Sources With a Network of Sensors. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410115.

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Nelson, Janice L. Studies of TTF RF Photocathode Gun Using Acoustic Sensors. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/799984.

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Freitag, Lee. Acoustic Communications and Navigation for Mobile Under-Ice Sensors. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada572170.

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Elburn, Eddie, and Ryan C. Toonen. Acoustic Nondestructive Evaluation of Aircraft Paneling Using Piezoelectric Sensors. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada579857.

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Silvia, Manuel T. A Theoretical and Experimental Investigation of Acoustic Dyadic Sensors. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada390111.

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Freitag, Lee. Acoustic Communications and Navigation for Mobile Under-Ice Sensors. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada601147.

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