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Artykuły w czasopismach na temat "Acoustic modelling"

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Rindel, Jens Holger. "Room Acoustic Modelling Techniques: A Comparison of a Scale Model and a Computer Model for a New Opera Theatre." Building Acoustics 18, no. 3-4 (2011): 259–80. http://dx.doi.org/10.1260/1351-010x.18.3-4.259.

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Today most acoustic consultants are using room acoustic computer models as a basis for their acoustic design. However, room acoustic scale modelling is still being used for the design in some major projects, although the costs and the time needed are significantly larger than those related to computer modelling. Both techniques were used by the author in a project for a new opera theatre; first the acoustical design was based on computer simulations using the Odeon software, and next a 1:20 scale model was built and tested. In the paper the results obtained with the two different modelling tec
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T., Pazara. "Sound propagation modelling in a lecture hall." Scientific Bulletin of Naval Academy XXII, no. 2 (2019): 276–83. http://dx.doi.org/10.21279/1454-864x-19-i2-033.

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For lecture halls, intelligibility of speech is the most important aspect. To achieve a relative uniform distribution of sound among the listeners, a number of parameters must be taken into account. One method to speed up the design process of a lecture hall is to model the sound propagation in that room using computer acoustic software. In this paper, the authors have chosen a lecture hall from Naval Academy and made numerous simulations to discover what are the week points regarding the acoustics of this room. The acoustical parameters obtained from simulations are compared with the desired
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Bazaras, Jonas. "INTERNAL NOISE MODELLING PROBLEMS OF TRANSPORT POWER EQUIPMENT." TRANSPORT 21, no. 1 (2006): 19–24. http://dx.doi.org/10.3846/16484142.2006.9638035.

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The acoustic analysis of transport vehicles is presented in this article. Two types of vehicles of Russian production (TEP‐60 and M62) were selected for this research. Using ANSYS/Multiphysic software acoustic noise of different power units in the engine sector was simulated. In this paper we present the modelling results of the locomotive internal noise. In ANSYS/Multiphysic anbience the problems of acoustics are solved on the basis of harmonic response analysis by providing harmonic pressure excitation (sine type) at some points of fluid structure and obtaining the pressure distribution in t
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Hovem, Jens M., and Hefeng Dong. "Understanding Ocean Acoustics by Eigenray Analysis." Journal of Marine Science and Engineering 7, no. 4 (2019): 118. http://dx.doi.org/10.3390/jmse7040118.

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Acoustics is important for all underwater systems for object detection, classification, surveillance systems, and communication. However, underwater acoustics is often difficult to understand, and even the most carefully conducted measurements may often give unexpected results. The use of theory and acoustic modelling in support of measurements is very important since theory tends to be better behaved and more consistent than experiments, and useful to acquire better knowledge about the physics principle. This paper, having a tutorial flair, concerns the use of ray modelling and in particular
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Smith, Michael. "Modelling approaches to multibeam echosounders for sound field characterization." Journal of the Acoustical Society of America 156, no. 3 (2024): 1552–64. http://dx.doi.org/10.1121/10.0028338.

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Concern over the impact of multibeam echosounders (MBES) on marine life has increased in recent years. A thorough impact assessment of acoustic sources requires both accurate modeling of the source and radiated sound field, and a biological assessment. The Joint Industry Program Acoustic Modelling Workshop in 2022 provided a set of verification scenarios for a deep-water MBES to compare modelling approaches and assess agreement across models. This work presents several relevant models designed to compute both the MBES beam patterns and propagated acoustic field. Key acoustic metrics used in im
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Brind, James, and Graham Pullan. "Modelling Turbine Acoustic Impedance." International Journal of Turbomachinery, Propulsion and Power 6, no. 2 (2021): 18. http://dx.doi.org/10.3390/ijtpp6020018.

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We quantify the sensitivity of turbine acoustic impedance to aerodynamic design parameters. Impedance boundary conditions are an influential yet uncertain parameter in predicting the thermoacoustic stability of gas turbine combustors. We extend the semi-actuator disk model to cambered blades, using non-linear time-domain computations of turbine vane and stage cascades with acoustic forcing for validation data. Discretising cambered aerofoils into multiple disks improves reflection coefficient predictions, reducing error by up to an order of magnitude compared to a flat plate assumption. A para
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Havrylko, Valeriia. "Development of a mathematical model of acoustic processes in the Opera Studio of the Kyiv Conservatory." Technology audit and production reserves 6, no. 1(80) (2024): 6–10. https://doi.org/10.15587/2706-5448.2024.316558.

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The object of this study is the acoustic characteristics of a concert hall, with a particular focus on the reverberation time, which significantly affects both the perception of sound by listeners and the performance of musicians. The study emphasises the importance of mathematical modelling of acoustic processes in concert halls, especially in optimising reverberation time. In the context of modern materials and advanced acoustic design technologies, precise calculations and analyses are required to evaluate the impact of various elements on a room’s overall acoustics. Poor design or material
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Bo, Elena, Louena Shtrepi, David Pelegrín Garcia, Giulio Barbato, Francesco Aletta, and Arianna Astolfi. "The Accuracy of Predicted Acoustical Parameters in Ancient Open-Air Theatres: A Case Study in Syracusae." Applied Sciences 8, no. 8 (2018): 1393. http://dx.doi.org/10.3390/app8081393.

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Nowadays, ancient open-air theatres are often re-adapted as performance spaces for the additional historical value they can offer to the spectators’ experience. Therefore, there has been an increasing interest in the modelling and simulation of the acoustics of such spaces. These open-air performance facilities pose several methodological challenges to researchers and practitioners when it comes to precisely measure and predict acoustical parameters. Therefore this work investigates the accuracy of predicted acoustical parameters, that is, the Reverberation Time (T20), Clarity (C80) and Sound
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Kushida, Noriyuki, and Ying-Tsong Lin. "High-performance computation toward large-scale underwater acoustics modelling." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A270. http://dx.doi.org/10.1121/10.0018814.

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The complex nature of the ocean has long presented a challenge for researchers in the field of oceanography, including in the area of underwater acoustics. As a result, significant efforts have been made to develop accurate numerical models to better understand and study the ocean. Established models such as Acoustic Toolbox and Range-dependent Acoustic Models have proven to be effective for modelling sound propagation. However, these models were designed to run on single-core computers, and there is potential to optimise their performance on modern systems. The use of General-purpose graphics
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Djambazov, Georgi. "Time-Dependent Numerical Modelling of Acoustic Cavitation in Liquid Metal Driven by Electromagnetic Induction." Fluids 8, no. 3 (2023): 79. http://dx.doi.org/10.3390/fluids8030079.

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The numerically simulated method of using electromagnetic field from an alternating current is a patented method to create in liquid metal, under the conditions of resonance, acoustic waves of sufficient strength to cause cavitation and implosion of gas bubbles, leading to beneficial degassing and grain refinement. The modelling stages of electromagnetics are described below along with acoustics in liquids, bubble dynamics, and their interactions. Sample results are presented for a cylindrical container with liquid aluminium surrounded by an induction coil. The possibility of establishing acou
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Rozprawy doktorskie na temat "Acoustic modelling"

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Ribichini, Remo. "Modelling of electromagnetic acoustic transducers." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9010.

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At present, the dominant technology for transducers in the field of Ultrasonic Non-Destructive Testing is piezoelectric. However, some industrially important applications, like the inspection of components operating at high temperature or while in motion, are difficult tasks for standard piezoelectric probes since mechanical contact is required. In these cases, contactless NDT techniques can be an attractive alternative. Among the available options, Electromagnetic Acoustic Transducers (EMATs) can generate and detect ultrasonic waves without the need for a physical contact between the probe an
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Ramanathan, Sathish Kumar. "Linear Acoustic Modelling and Testing of Exhaust Mufflers." Thesis, KTH, Aeronautical and Vehicle Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4340.

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<p>Intake and Exhaust system noise makes a huge contribution to the interior and exterior noise of automobiles. There are a number of linear acoustic tools developed by institutions and industries to predict the acoustic properties of intake and exhaust systems. The present project discusses and validates, through measurements, the proper modelling of these systems using BOOST-SID and discusses the ideas to properly convert a geometrical model of an exhaust muffler to an acoustic model. The various elements and their properties are also discussed.</p><p>When it comes to Acoustic properties the
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Hurrell, Andrew M. "Finite difference modelling of acoustic propagation and its applications in underwater acoustics." Thesis, University of Bath, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250842.

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Ajaz, Mahnoor. "Finite Difference Time Domain Modelling of Ultrasonic Parametric Arrays in Two-Dimensional Spaces." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619109761801613.

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Laurinčiukaitė, Sigita. "Acoustic modelling of Lithuanian speech recognition." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080626_121551-77545.

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This paper is devoted to an acoustic modelling of Lithuanian speech recognition. Word-, syllable-, contextual syllable-, phoneme- and contextual phoneme-based speech recognition was investigated. Investigations were performed for isolated words and continuous speech. The most popular sub-word units in Lithuanian speech recognition are phonemes and contextual phonemes, and research on other sub-word units is omitted. This paper aims to compare capacity of linguistic sub-word units to model speech and to demonstrate that investigation of sub-word units suggest using alternative sub-word units to
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Wong, Lawdy Siu Shan. "Auditorium acoustic modelling on chaotic realisation." Thesis, Oxford Brookes University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394625.

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Oxnard, Stephen. "Efficient hybrid virtual room acoustic modelling." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/17459/.

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This thesis investigates approaches to virtual room acoustic modelling and auralisation in order to a develop hybrid modelling solution that is capable of efficient and accurate simulation of enclosed sound propagation. Emphasis is placed on the advantages and disadvantages of state of the art numerical and geometric acoustic modelling methods. Numerical methods have been shown to preserve important sound wave characteristics such as diffraction and room modes, and are considered more accurate for low frequency acoustic modelling than geometric techniques which fail to preserve such wave effec
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Hunter, Alan Joseph. "Underwater Acoustic Modelling for Synthetic Aperture Sonar." Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1117.

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Underwater acoustic modelling is an important aspect of Synthetic Aperture Sonar (SAS) system design and algorithm development. Sea-trials are an expensive and time-consuming exercise and simulations provide an efficient and economic alternative. However, there are few simulators (in the open literature) that can efficiently provide realistic SAS data for large, complicated scenes. Conventional side-scan sonar simulators are not suitable for SAS data simulation. These simulators utilise narrow-beam and narrow-band approximations; typical SAS systems are wide-beam and wide-band and these app
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Shannon, Sean Matthew. "Probabilistic acoustic modelling for parametric speech synthesis." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708415.

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Zhang, Ning. "The computational modelling of electromagnetic acoustic imaging." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:2c4c9946-b90c-43a3-9039-1c7df2dcd976.

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The Electromagnetic Acoustic (EMA) technique is a novel multi-modal technique for medical imaging. It is sensitive, in principle, to contrast in mechanical properties and electrical properties and has potential in a number of applications such as breast tumour detection where there will be contrast between diseased and healthy tissue and high intensity focused ultrasound monitoring, where there will be contrast when tissue is ablated. A complete computational model for the EMA imaging is developed. The model considers the linear or nonlinear propagation of ultrasound in soft tissue, the dynami
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Książki na temat "Acoustic modelling"

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Etter, Paul C. Underwater Acoustic Modelling and Simulation. Taylor & Francis Group Plc, 2004.

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Wong, Lawdy Siu Shan. Auditorium acoustic modelling based on chaotic realisation. Oxford Brookes University, 1999.

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Round, Carl Graham. Mathematical modelling of acoustic cavitation and sonoluminescence. University of Birmingham, 1997.

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Simms, Michael. Transmission -Line MAtrix Modelling of Acoustic Devices. University College Dublin, 1997.

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Willison, Peter A. Transmission line matrix modelling of underwater acoustic propagation. University of East Anglia, 1992.

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Hashimoto, Ken-ya. Surface Acoustic Wave Devices in Telecommunications: Modelling and Simulation. Springer Berlin Heidelberg, 2000.

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Owen, Raymond Harvey. Modelling of high frequency acoustic scattering from a moving rough surface. University of Birmingham, 1995.

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Hellström, Björn. Noise design: Architectural modelling and the aesthetics of urban acoustic space. Bo Ejeby Förlag., 2003.

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Xiang, Ning. A mobile universal measuring system for the binaural-acoustic modelling-technique. Bundesanstalt für Arbeitsschutz, 1991.

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Meglio, Alberto Di. Finite element-boundary elements modelling of acoustic scattering from viscoelastic anechoic structures. University of Birmingham, 2000.

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Części książek na temat "Acoustic modelling"

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Pohjolainen, Seppo, and Antti Suutala. "Acoustic Modelling." In Mathematical Modelling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27836-0_11.

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Feistel, Stefan, and Wolfgang Ahnert. "Acoustic Modelling – Basics." In Sound Reinforcement for Audio Engineers. Focal Press, 2022. http://dx.doi.org/10.4324/9781003220268-8.

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Zhao, Rui, Guohua Tu, Jun Liang, and Chihyung Wen. "Acoustic Metasurface Modelling." In Stabilization of Hypersonic Boundary-Layer: Acoustic Metasurfaces. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8623-7_3.

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Eyben, Florian. "Acoustic Features and Modelling." In Springer Theses. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27299-3_2.

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Coates, Rodney F. W. "Ray Trace Modelling of Sonar Propagation." In Underwater Acoustic Systems. Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-20508-0_4.

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Willison, P. A. "Normal Mode Modelling of Sonar Propagation." In Underwater Acoustic Systems. Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-20508-0_5.

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Tacconi, Giorgio, and Antonio Tiano. "Applied Modelling to Underwater Vehicles Identification." In Underwater Acoustic Data Processing. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_45.

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Shadle, Christine H. "Articulatory-Acoustic Relationships in Fricative Consonants." In Speech Production and Speech Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2037-8_8.

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Mitter, Sanjoy K. "Modelling and Estimation for Random Fields." In Acoustic Signal Processing for Ocean Exploration. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_36.

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Patsko, V. S., and V. L. Turova. "Numerical Solution to the Acoustic Homicidal Chauffeur Game." In System Modelling and Optimization. Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35514-6_11.

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Streszczenia konferencji na temat "Acoustic modelling"

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VENA, A., G. M. INSOLERA, R. GIULIANI, T. FIORE, and G. PERCHIAZZI. "COMPUTER ANALYSIS OF ACOUSTIC RESPIRATORY SIGNALS." In Modelling Biomedical Signals. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812778055_0005.

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A. Barsottelli Botelho, M., and V. Pinheiro. "Acoustic Modelling in Biot Media." In 57th EAEG Meeting. EAGE Publications BV, 1995. http://dx.doi.org/10.3997/2214-4609.201409569.

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Goyder, H. G. D. "Modelling Acoustic Sources in Pipework." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57515.

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The internal gas flow within a pipework system can generate large noise levels which may be sufficient to cause vibration and fatigue damage. The sources of such noise can be modelled by means of acoustic oscillations of inflow and outflow from a point location. Single and multiple point locations (monopoles and dipoles) within pipework are analysed to determine the different wave structures they generate. Use is made of frequency domain methods within which the effects of damping can be included by using reflection coefficients which allow some energy to leave the system. In order to model th
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Kallman, M., and H. Wicklander. "Submarine Acoustic Target Strength Modelling." In Warship 99. RINA, 1999. http://dx.doi.org/10.3940/rina.ws.1999.16.

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Hazzard, J. F., S. C. Maxwell, and R. P. Young. "Micromechanical Modelling of Acoustic Emissions." In SPE/ISRM Rock Mechanics in Petroleum Engineering. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/47320-ms.

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WRIGHT, JR. "ACOUSTIC MODELLING OF ENCLOSED SPACES." In Reproduced Sound 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19932.

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AINSLIE, MA, CH HARRISON, and PW BURNS. "REVERBERATION MODELLING WITH INSIGHT." In Underwater Acoustic Scattering 1994. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20370.

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Rusovici, Razvan, and Daniel Mason. "Coupled Acoustic-Structural-Piezoelectric Modeling of Synthetic Jet." In Modelling, Identification and Control. ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.809-064.

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Chen, Xin, and Yunxin Zhao. "Data sampling based ensemble acoustic modelling." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960456.

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Buckley, Leonie, Sam Caulfield, and David Moloney. "MvEcho - acoustic response modelling for auralisation." In 2016 IEEE Hot Chips 28 Symposium (HCS). IEEE, 2016. http://dx.doi.org/10.1109/hotchips.2016.7936238.

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Raporty organizacyjne na temat "Acoustic modelling"

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Marinovic, Nenad M., and Leonid Roytman. Modelling, Detection, and Classification of Random Underwater Acoustic Transients. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada247797.

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Phillips, Michael, James Glass, and Victor Zue. Modelling Context Dependency in Acoustic-Phonetic and Lexical Representations. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada460564.

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Hirsekorn, M., P. P. Delsanto, N. K. Batra, and P. Matic. Modelling and Simulation of Acoustic Wave Propagation in Locally Resonant Sonic Materials. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada525809.

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Ratilal, Purnima. Characterizing Broadband Acoustic Propagation Scintillation and Modelling Scattering and Reverberation for Sensing in a Random Ocean Waveguide. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada615928.

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