Relevant bibliographies by topics / Reverberation

Academic literature on the topic 'Reverberation'

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Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Reverberation"

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Klimesch, Wolfgang. "The functional meaning of reverberations for sensoric and contextual encoding." Behavioral and Brain Sciences 18, no. 4 (December 1995): 636. http://dx.doi.org/10.1017/s0140525x00040279.

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AbstractAmit argues that the local neuronal spike rate that persists (reverberating) in the absence of the eliciting stimulus represents the code of the eliciting stimulus. Based on the general argument that the inferred functional meaning of reverberation depends in part on the type of representational assumptions, reverberations may only be important for the encoding of contextual information.
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Choo, Youngmin, Woojae Seong, and Wooyoung Hong. "Modeling and Analysis of Monostatic Seafloor Reverberation from Bottom Consisting of Two Slopes." Journal of Computational Acoustics 22, no. 02 (April 17, 2014): 1450005. http://dx.doi.org/10.1142/s0218396x14500052.

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An incoherent reverberation from a continental shelf was simulated using a propagation model based on ray theory combined with several scattering strength formulas. The concept of an N × 2D reverberation model is used to consider azimuthal and radial dependent bottom. For verification of the reverberation model, the result is compared to consensus solutions of problem XI in Reverberation Modeling Workshop I (RMW I). Subsequently, the model is applied to one of data-inspired problems in Reverberation Modeling Workshop II (RMW II). Scattering strength formulas based on the Kirchhoff approximation (KA) and small slope approximation (SSA) are adapted to be applicable to a von Karman roughness spectral form. The monostatic reverberations on the continental shelf are observed at 200 Hz and 1600 Hz for various scattering cross-sections. The results with SSA scattering cross-section are examined to analyze the features of continental shelf reverberation depending on the sound speed profile and bottom slope, and they are found to affect both the pattern and level of reverberations.
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Wang, Zhen, Hao Zhang, Xiao Chen, and Yuan An. "A construction method of reverberation suppression filter using an end-to-end network." PLOS ONE 18, no. 10 (October 24, 2023): e0293365. http://dx.doi.org/10.1371/journal.pone.0293365.

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Reverberation is the primary background interference of active sonar systems in shallow water environments, affecting target position detection accuracy. Reverberation suppression is a signal processing technique used to improve the clarity and accuracy of echo by eliminating the echoes, reverberations, and noise that occur during underwater propagation.This paper proposes an end-to-end network structure called the Reverberation Suppression Network (RS-U-Net) to suppress the reverberation of underwater echo signals. The proposed method effectively improves the signal-to-reverberation ratio (SRR) of the echo signal, outperforming existing methods in the literature. The RS-U-Net architecture uses sonar echo signal data as input, and a one-dimensional convolutional network (1D-CNN) is used in the network to train and extract signal features to learn the main features. The algorithm’s effectiveness is verified by the pool experiment echo data, which shows that the filter can improve the detection of echo signals by about 10 dB. The weights of reverberation suppression tasks are initialized with an auto-encoder, which effectively uses the training time and improves performance. By comparing with the experimental pool data, it is found that the proposed method can improve the reverberation suppression by about 2 dB compared with other excellent methods.
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Sun, Tongjing, Yabin Wen, Xuegang Zhang, Bing Jia, and Mengwei Zhou. "Gaussian Mixture Model for Marine Reverberations." Applied Sciences 13, no. 21 (November 6, 2023): 12063. http://dx.doi.org/10.3390/app132112063.

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Ocean reverberations, a significant interference source in active sonar, arise as a response generated by random scattering at the receiving end, a consequence of randomly distributed clutter or irregular interfaces. Statistical analysis of reverberation data has revealed a predominant adherence to the Rayleigh distribution, signifying its departure from specific distribution forms like the Gaussian distribution. This study introduces the Gaussian mixture model, capable of simulating random variables conforming to a wide array of distributions through the integration of an adequate number of components. Leveraging the unique statistical attributes of reverberation, we initiate the Gaussian mixture model’s parameters via the frequency histogram of the reverberation data. Subsequently, model parameters are estimated using the expectation–maximization (EM) algorithm and the most suitable statistical model is selected based on robust model selection criteria. Through a comprehensive evaluation that encompasses both simulated and observed data, our results underscore the Gaussian mixture model’s effectiveness in accurately characterizing the distribution of reverberation data, yielding a mean squared error of less than 4‰.
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Pang, Jie, and Bo Gao. "Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation." Remote Sensing 15, no. 14 (July 21, 2023): 3648. http://dx.doi.org/10.3390/rs15143648.

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The detection performance of active sonar is often hindered by the presence of seabed reverberation in shallow water. Separating the reverberations from the target echo and noise in the received signal is a crucial challenge in the field of underwater acoustic signal processing. To address this issue, an improved Go-SOR decomposition method is proposed based on the subspace-orbit-randomized singular value decomposition (SOR-SVD). This method successfully extracts the low-rank structure with a certain striation pattern. The results demonstrate that the proposed algorithm outperforms both the original Go algorithm and the current state-of-the-art (SOTA) algorithm in terms of the definition index of the low-rank structure and computational efficiency. Based on the monostatic reverberation theory of the normal mode, it is established that the low-rank structure is consistent with the low-frequency reverberation interference striation. This study examines the interference characteristics of the low-rank structure in the experimental sea area and suggests that the interferences of the fifth and seventh modes mainly control the low-rank structure. The findings of this study can be applied to seafloor exploration, reverberation waveguide invariant (RWI) extraction, and data-driven reverberation suppression methods.
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Naylor, Patrick A., Nikolay D. Gaubitch, and Emanuël A. P. Habets. "Signal-Based Performance Evaluation of Dereverberation Algorithms." Journal of Electrical and Computer Engineering 2010 (2010): 1–5. http://dx.doi.org/10.1155/2010/127513.

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We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the impulse response of the reverberating system. However, several important dereverberation algorithms involve nonlinear and/or time-varying processing and therefore their effect cannot conveniently be represented in terms of modifications to the impulse response of the reverberating system. In such cases, we show that a good estimate of DRR can be obtained from the input/output signals alone using the Signal-to-Reverberant Ratio (SRR) only if the source signal is spectrally white and correctly normalized. We study alternative normalization schemes and conclude by showing a least squares optimal normalization procedure for estimating DRR using signal-based SRR measurement. Simulation results illustrate the accuracy of DRR estimation using SRR.
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Hung, Alex Ling Yu, Edward Chen, and John Galeotti. "Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts." BME Frontiers 2022 (March 1, 2022): 1–15. http://dx.doi.org/10.34133/2022/9837076.

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Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts. Our method models the intensity decay of artifact intensities and is designed to minimize the human labeling error. Introduction. Ultrasound image quality has continually been improving. However, when needles or other metallic objects are operating inside the tissue, the resulting reverberation artifacts can severely corrupt the surrounding image quality. Such effects are challenging for existing computer vision algorithms for medical image analysis. Needle reverberation artifacts can be hard to identify at times and affect various pixel values to different degrees. The boundaries of such artifacts are ambiguous, leading to disagreement among human experts labeling the artifacts. Methods. Our learning-based framework consists of three parts. The first part is a probabilistic segmentation network to generate the soft labels based on the human labels. These soft labels are input into the second part which is the transform function, where the training labels for the third part are generated. The third part outputs the final masks which quantifies the reverberation artifacts. Results. We demonstrate the applicability of the approach and compare it against other segmentation algorithms. Our method is capable of both differentiating between the reverberations from artifact-free patches and modeling the intensity fall-off in the artifacts. Conclusion. Our method matches state-of-the-art artifact segmentation performance and sets a new standard in estimating the per-pixel contributions of artifact vs underlying anatomy, especially in the immediately adjacent regions between reverberation lines. Our algorithm is also able to improve the performance of downstream image analysis algorithms.
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Hu, Ning, Xin Rao, Jiabao Zhao, Shengjie Wu, Maofa Wang, Yangzhen Wang, Baochun Qiu, Zhenjing Zhu, Zitong Chen, and Tong Liu. "A Shallow Seafloor Reverberation Simulation Method Based on Generative Adversarial Networks." Applied Sciences 13, no. 1 (January 1, 2023): 595. http://dx.doi.org/10.3390/app13010595.

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Reverberation characteristics must be considered in the design of sonar. The research on reverberation characteristics is based on a large number of actual reverberation data. Due to the cost of trials, it is not easy to obtain actual lake and sea trial reverberation data, which leads to a lack of actual reverberation data. Traditionally, reverberation data are obtained by modeling the generation mechanism of seafloor reverberation. The usability of the models requires a large amount of actual seafloor reverberation data to verify. In terms of the reverberation modeling theory, scattering models are mostly empirical, computationally intensive and inefficient. In order to solve the above obstacles, we propose a shallow seafloor reverberation data simulation method based on the generative adversarial network (GAN), which uses a small amount of actual reverberation data as reference samples to train the GAN to generate more reverberation data. The reverberation data generated by the GAN are compared with that simulated by traditional methods, and it is found that the reverberation data generated by the GAN meet the reverberation characteristics. Once the network is trained, the reverberation data are generated with very little computation. In addition, the method is universal and can be applied to any sea area. Compared with the traditional method, this method has a simple modeling idea, less computation and strong universality. It can be used as an alternative method for sea trials to provide data support for the study of seafloor reverberation characteristics, and it has broad application prospects in antireverberation technology research and active sonar design.
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WU, J. R., E. C. SHANG, and T. F. GAO. "A NEW ENERGY-FLUX MODEL OF WAVEGUIDE REVERBERATION BASED ON PERTURBATION THEORY." Journal of Computational Acoustics 18, no. 03 (September 2010): 209–25. http://dx.doi.org/10.1142/s0218396x10004152.

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The modal shallow water reverberation theory and the energy-flux shallow water reverberation theory were combined to get a new energy-flux model of waveguide reverberation based on Perturbation theory. There are only three environmental parameters (P, Q, μ) in the new reverberation model. It has clear physical picture and it is satisfied the waveguide constraint without any adjustable parameters. The new energy-flux reverberation model was compared with the modal reverberation model (full-wave reverberation model). The results show that the new model can explain the shallow water reverberation in most cases. It is shown that the contributions of parameter P and Q are mutual compensated (coupled) for a fixed reverberation data, therefore it is hard to extract both of them simultaneously. Finally, parameters P and μ at different frequencies were extracted from the reverberation data of "Qingdao-2005 experiment" in Yellow sea shallow-water area where the parameter Q has been extracted from mode filtering approach previously.
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Kyong, Jeong-Sug, Chanbeom Kwak, Woojae Han, Myung-Whan Suh, and Jinsook Kim. "Effect of Speech Degradation and Listening Effort in Reverberating and Noisy Environments Given N400 Responses." Journal of Audiology and Otology 24, no. 3 (July 10, 2020): 119–26. http://dx.doi.org/10.7874/jao.2019.00514.

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Background and Objectives: In distracting listening conditions, individuals need to pay extra attention to selectively listen to the target sounds. To investigate the amount of listening effort required in reverberating and noisy backgrounds, a semantic mismatch was examined.Subjects and Methods: Electroencephalography was performed in 18 voluntary healthy participants using a 64-channel system to obtain N400 latencies. They were asked to listen to sounds and see letters in 2 reverberated×2 noisy paradigms (i.e., Q-0 ms, Q-2000 ms, 3 dB-0 ms, and 3 dB-2000 ms). With auditory-visual pairings, the participants were required to answer whether the auditory primes and letter targets did or did not match. Results: Q-0 ms revealed the shortest N400 latency, whereas the latency was significantly increased at 3 dB-2000 ms. Further, Q-2000 ms showed approximately a 47 ms delayed latency compared to 3 dB-0 ms. Interestingly, the presence of reverberation significantly increased N400 latencies. Under the distracting conditions, both noise and reverberation involved stronger frontal activation. Conclusions: The current distracting listening conditions could interrupt the semantic mismatch processing in the brain. The presence of reverberation, specifically a 2000 ms delay, necessitates additional mental effort, as evidenced in the delayed N400 latency and the involvement of the frontal sources in this study.
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Dissertations / Theses on the topic "Reverberation"

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Klevmar, Elin. "Reverberation." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16397.

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Starkey, D., Keith Horne, M. M. Fausnaugh, B. M. Peterson, M. C. Bentz, C. S. Kochanek, K. D. Denney, et al. "SPACE TELESCOPE AND OPTICAL REVERBERATION MAPPING PROJECT.VI. REVERBERATING DISK MODELS FOR NGC 5548." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/622875.

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We conduct a multiwavelength continuum variability study of the Seyfert 1 galaxy NGC 5548 to investigate the temperature structure of its accretion disk. The 19 overlapping continuum light curves (1158 angstrom to 9157 angstrom) combine simultaneous Hubble Space Telescope, Swift, and ground-based observations over a 180 day period from 2014 January to July. Light-curve variability is interpreted as the reverberation response of the accretion disk to irradiation by a central time-varying point source. Our model yields the disk inclination i = 36 degrees +/- 10 degrees, temperature T-1= (44 +/- 6) x 10(3) K at 1 light day from the black hole, and a temperature-radius slope (T proportional to r(-alpha)) of alpha = 0.99 +/- 0.03. We also infer the driving light curve and find that it correlates poorly with both the hard and soft X-ray light curves, suggesting that the X-rays alone may not drive the ultraviolet and optical variability over the observing period. We also decompose the light curves into bright, faint, and mean accretion-disk spectra. These spectra lie below that expected for a standard blackbody accretion disk accreting at L/L-Edd = 0.1.
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Hasan, Md Mehadi. "Diffuse sound fields, reverberation-room methods and the effectiveness of reverberation-room designs." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54830.

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The reverberation-room method, which assumes a diffuse sound field, has long been used for various standardized room-acoustical determinations – e.g. of surface-absorption coefficients, power levels of sound sources, transmission losses of acoustical partitions, etc. In this regard, a number of standards have emerged to offer some help by outlining necessary reverberation-room design guidelines to achieve sufficient sound-field diffuseness. However, unsatisfactory opinions regarding the prediction accuracy of the method, especially at low frequencies, have been reported over the years. This might be due to deviations from the assumed diffuse-field concept, which is very challenging to implement from an application point of view; also there are no straight-forward ways to characterize the degree of sound-field diffuseness. To investigate the problem and propose solutions, diffuse-field theory and existing standards have been revisited. Using numerical, finite-element-based, modal prediction, their capacity/effectiveness to achieve a diffuse sound field is analyzed by means of a number of descriptors (room-acoustical parameters). Because of time limitations, the concept regarding the design of a reverberation-room structure – i.e. size, shape, etc. – is mainly explored, rather than the internal test-setup arrangements. The prediction accuracy of different room-acoustical parameters are also determined by the reverberation-room standard methods, with respect to both the Sabine and Eyring versions of the diffuse-field formulae, and both in octave and third-octave bands. The minimum approachable frequencies of predictions and the quality of sound-field diffuseness are discussed in terms of the prediction accuracy of different room-acoustical parameters. Considering three room volumes prescribed by standards, and four room shapes for each of the volumes, it has been found that the reverberation room of volume 150 m³, as prescribed by the ISO 354 standard, with the typical dimensional orientation (longest x-dimension/shortest vertical dimension) yields better field diffuseness than the other rooms of different volumes and shapes. To check the possibility of further improvement of the field diffuseness, a number of additional features are integrated into that reverberation room. It is found that the rooms with diffusers and absorbent corner treatments yield improved sound-field diffuseness, while the rooms with diffuse surface reflection yield poor field diffuseness due to the increased surface absorption.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Hopper, Hugh. "Reverberation enhancement for small rooms." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/348944/.

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Reverberation enhancement is a technology which allows the reverberation time of a room to be increased through the use of an electronic system. These systems have traditionally been applied to improve the acoustics of large concert halls but the technology can also be used in smaller spaces with several possible applications. Previous uses of reverberation enhancement in small rooms have largely consisted of direct transplants of systems designed for large concert halls. This work investigates the complications which arise when using reverberation enhancement in a small room due to the differences in the acoustic properties of the space and also the restriction on the channel count of the system due to physical constraints. The first part of this work deals with increasing the resultant reverberation time of the room without requiring additional system channels. This is achieved through the use of processing within the system. Two methods have been investigated. The first extends the resultant reverberation time without changing the feedback gain. The processing used for this purpose is either electronic reverberation or simple delay, both of which have been shown to allow significant increases in resultant reverberation time. These changes can be predicted accurately using diffuse field theory. The other method uses time-varying processing to increase the maximum stable feedback gain. This has been shown to allow increases in resultant reverberation time but also causes undesirable artefacts which limit the usability of this technique. The second part of this work focuses on the differences in the acoustic properties of small rooms and especially the ways in which these rooms differ from a diffuse field. This includes the consideration of the modal properties of the room at low frequency which are insignificant in a large room. It has been shown that the spatial and frequency variations of the room at low frequency can be reduced through numerical optimisation of the processing within the reverberation enhancement system. Finally, the diffusion of the sound field and the early energy in the impulse response have been considered. It is shown that restrictions on the resultant reverberation time may be required in order to create a subjectively acceptable acoustic response. Overall, this work has shown that by accounting for the properties of the room, excellent performance of the system can be achieved.
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Wen, Jimi. "Reverberation : models, estimation and application." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/4425.

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The use of reverberation models is required in many applications such as acoustic measurements,speech dereverberation and robust automatic speech recognition. The aim of this thesis is toinvestigate different models and propose a perceptually-relevant reverberation model with suitableparameter estimation techniques for different applications. Reverberation can be modelled in both the time and frequency domain. The model parametersgive direct information of both physical and perceptual characteristics. These characteristicscreate a multidimensional parameter space of reverberation, which can be to a large extent capturedby a time-frequency domain model. In this thesis, the relationship between physical and perceptualmodel parameters will be discussed. In the first application, an intrusive technique is proposed tomeasure the reverberation or reverberance, perception of reverberation and the colouration. Theroom decay rate parameter is of particular interest. In practical applications, a blind estimate of the decay rate of acoustic energy in a roomis required. A statistical model for the distribution of the decay rate of the reverberant signalnamed the eagleMax distribution is proposed. The eagleMax distribution describes the reverberantspeech decay rates as a random variable that is the maximum of the room decay rates and anechoicspeech decay rates. Three methods were developed to estimate the mean room decay rate fromthe eagleMax distributions alone. The estimated room decay rates form a reverberation model thatwill be discussed in the context of room acoustic measurements, speech dereverberation and robustautomatic speech recognition individually.
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Raimond, Andew. "Perceptual constancy for reverberation : loudness asymmetry, loudness context effects, binaural de-reverberation and cross-frequency effects." Thesis, University of Reading, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603522.

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Room reverberation adds slowly-decaying 'tails' at the end of sounds, yet listeners do not perceive these strongly. This is evinced by loudness judgements of stimuli shaped with 'reverberant tail-like' slow offsets being quieter than their reversed counterparts. This study investigates whether a perceptual 'constancy' mechanism is responsible, accounting for reverberation effects and maintaining constant perception despite changes to the sound's physical characteristics. Such a mechanism might take account of reverberation by separating sounds with decaying rails into source characteristics and effects from reverberation, then dismissing energy within tails from listeners' loudness judgements. The process appears to be informed by preceding contexts because loudness differences are enhanced following 'standard' stimuli with similar tail• like decays. This study found that this 'loudness context effect' is more pronounced when using stimuli with real• reverberant tails than artificially-shaped offsets, indicating the effect is sensitive to more than simplified slow offsets. Additionally, reverberation decorrelates sounds at a listener's two ears. When binaural and monaural conditions are examined, a 'binaural de-reverberation' occurs whereby perception of uncorrelated binaural tails is further reduced, causing a decrease in the loudness context effect. However, the loudness context effect is only apparent in situations where both standard and test stimuli occupy the same narrow frequency band and is markedly reduced in widely separated cross-band conditions. These monaural and within• band loudness effects are similar to a constancy for reverberation found in speech perception in which reverberant tails are also dismissed. The underlying processes causing these effects are explored. While models of the early auditory system can account for some of these loudness differences, such models are insensitive to additional influence from contexts. It seems a further, higher-level process may be having an effect: one that uses information from previously heard stimuli, such as the presence of similarly tailed decays, binaural comparisons, and stimuli sharing a common frequency
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Muggleworth, Charles E. "Shallow water reverberation measurement and prediction." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA283498.

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Thesis (M.S. in Electrical Engineering and M.S. in Engineering Acoustics) Naval Postgraduate School, June 1994.
Thesis advisor(s): James H. Miller, C. Chiu. "June 1994." Bibliography: p. 69-71. Also available online.
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Wheatcroft, Bruce A. "Musical reverberation in contrasting worship spaces." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ65187.pdf.

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Tian, Zhihao. "Efficient measurement techniques in reverberation chamber." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3009502/.

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The rapid expansion of electronic industry calls for effective and efficient electromagnetic (EM) measurements, including the characterization of devices under test (DUT), such as antennas or wireless devices, and the electromagnetic compatibility (EMC) testing. In the real world, EM measurements can be influenced by a number of uncontrollable factors which will afflict the measurements. These factors make the measurements very difficult especially when the measurements require high precision and/or low power relative to the background noise. To conduct EM measurements accurately, many different facilities/environments have been developed, including anechoic chambers (ACs), transverse electromagnetic (TEM) Cells, and reverberation chambers (RCs). These three environments have different characteristics. Over the past several decades, RCs have been enjoying growing popularity as a promising facility for the characterization of wireless devices and for the EMC testing. The RC measurement method exhibits much competitive superiority over the AC method and TEM Cell method, such as low cost, enhanced test repeatability, a more realistic test environment, and easily achieved high-field environment. The application of the RC for performing EMC testing was first proposed by H. A. Mendes in 1968. In the recent IEC 61000-4-21 standard, the importance of EMC testing using RCs as an alternative measurement technique has been recognized. To make the RC well stirred, a large number of independent samples (stirrer positions) are required. Consequently, the measurement time is usually long (typically several hours), which has greatly restricted the engineering applications of the RC measurement techniques. The purpose of this thesis is to present our studies on improving the measurement efficiency of RCs in recent years, including the efficient measurement of the averaged absorption cross section (ACS) with only one antenna, the rapid volume measurement method using the averaged ACS, the simplified shielding effectiveness (SE) measurement using the nested RC with two antennas, and the improved antenna array efficiency measurement in an RC. For ACS measurement, the proposed one-antenna methods in both the frequency domain and the time domain are presented. The measurement setup is greatly simplified and the measurement time is significantly shortened. The efficient measurement of the ACS can be used to obtain the volume of a chamber, which leads to the rapid volume measurement method. For the SE measurement of electrically large enclosures using a nested RC, four improved measurement methods are proposed. Both the frequency-domain and time-domain methods are studied. The proposed methods require only two antennas and provide efficient measurement of SE without losing the accuracy. Finally, the accurate array efficiency measurement method in an RC using a power divider is presented. A power divider is used to excite the feeding ports of the array elements simultaneously. Thus, the efficiency measurement of the entire array can be effectively treated in a manner similar to a single port antenna, which would simplify the measurement procedure and reduce the overall measurement time. By introducing proper attenuators between the array elements and the power divider to alleviate the effect of the reflected power from the array to the insertion loss of the power divider, the array efficiency can be measured accurately even when the elements of the array are not well-matched with the power divider. The proposed method is advantageous especially for wideband antenna arrays where good impedance matching of array elements is difficult to maintain. In this thesis, it is shown that our proposed methods have greatly improved the RC measurement efficiency and simplified the measurement setup at the same time. These contributions could promote the industrial application of RCs.
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Svensson, Mattias. "Simulating Low Frequency Reverberation in Rooms." Thesis, KTH, Marcus Wallenberg Laboratoriet MWL, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290038.

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The aim of this thesis was to make a practical tool for low frequency analysis in room acoustics.The need arises from Acad’s experience that their results from simulations using raytracing software deviate in the lower frequencies when compared to field measurements inrooms. The tool was programmed in Matlab and utilizes the Finite Difference Time Domain (FDTD) method, which is a form of rapid finite element analysis in the time domain.A number of tests have been made to investigate the practical limitations of the FDTD method, such as numerical errors caused by sound sources, discretization and simulation time. Boundary conditions, with and without frequency dependence, have been analysed bycomparing results from simulations of a virtual impedance tube and reverberation room to analytical solutions. These tests show that the use of the FDTD method appears well suited for the purpose of the tool.A field test was made to verify that the tool enables easy and relatively quick simulations of real rooms, with results well in line with measured acoustic parameters. Comparisons of the results from using the FDTD method, ray-tracing and finite elements (FEM) showed goodcorrelation. This indicates that the deviations Acad experience between simulated results and field measurements are most likely caused by uncertainties in the sound absorption data used for low frequencies rather than by limitations in the ray-tracing software. The FDTDtool might still come in handy for more complex models, where edge diffraction is a more important factor, or simply as a means for a “second opinion” to ray-tracing - in general FEM is too time consuming a method to be used on a daily basis.Auxiliary tools made for importing models, providing output data in the of room acoustic parameters, graphs and audio files are not covered in detail here, as these lay outside the scope of this thesis.
Målet för detta examensarbete var att undersöka möjligheten att programmera ett praktisktanvändbart verktyg för lågfrekvensanalys inom rumsakustik. Behovet uppstår från Acadserfarenhet att resultat från simuleringar med hjälp av strålgångsmjukvara avviker i lågfrekvensområdeti jämförelse med fältmätningar i färdigställda rum. Verktyget är programmerati Matlab och använder Finite Difference Time Domain (FDTD) metoden, vilket är en typav snabb finita elementanalys i tidsdomänen.En rad tester har genomförts för att se metodens praktiska begräsningar orsakade av numeriskafel vid val av ljudkälla, diskretisering och simuleringstid. Randvillkor, med och utanfrekvensberoende, har analyserats genom jämförelser av simulerade resultat i virtuella impedansröroch efterklangsrum mot analytiska beräkningar. Testerna visar att FDTD-metodentycks fungerar väl för verktygets tilltänkta användningsområde.Ett fälttest genomfördes för att verifiera att det med verktyget är möjligt att enkelt och relativtsnabbt simulera resultat som väl matcher uppmätta rumsakustiska parametrar. Jämförelsermellan FDTD-metoden och resultat beräknade med strålgångsanalys och finita elementmetoden(FEM) visade även på god korrelation. Detta indikerar att de avvikelser Acaderfar mellan simulerade resultat och fältmätningar troligen orsakas av osäkerheter i den ingåendeljudabsorptionsdata som används för låga frekvenser, snarare än av begränsningar istrålgångsmjukvaran. Verktyget kan fortfarande komma till användning för mer komplexamodeller, där kantdiffraktion är en viktigare faktor, eller helt enkelt som ett sätt att få ett”andra utlåtande” till resultaten från strålgångsmjukvaran då FEM-analys generellt är en förtidskrävande metod för att användas på daglig basis.Kringverktyg skapade för t.ex. import av modeller, utdata i form av rumsakustiska parametrar,grafer och ljudfiler redovisas inte i detalj i denna rapport eftersom dessa ligger utanförexamensarbetet.
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Books on the topic "Reverberation"

1

Boyes, Stephen J., and Yi Huang. Reverberation Chambers. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118906279.

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Ellis, Dale D., John R. Preston, and Heinz G. Urban, eds. Ocean Reverberation. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2078-4.

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D, Ellis Dale, Preston John R, Urban Heinz G. 1937-, and Ocean Reverberation Symposium (1992 : La Spezia, Italy), eds. Ocean reverberation. Dordrecht: Kluwer Academic Publishers, 1993.

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Ellis, Dale D. Ocean Reverberation. Dordrecht: Springer Netherlands, 1993.

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Démoulin, Bernard, and Philippe Besnier. Electromagnetic Reverberation Chambers. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2011. http://dx.doi.org/10.1002/9781118602034.

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Reverberation: The novel. [Place of publication not identified]: [publisher not identified], 2011.

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Philippe, Besnier, ed. Electromagnetic reverberation chambers. London: ISTE, 2011.

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Xu, Qian, and Yi Huang. Anechoic and Reverberation Chambers. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119362050.

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Ol’shevskii, V. V. Characteristics of Sea Reverberation. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-4722-2.

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Plumb, G. D. Optimum methods for the measurement of the absorption coefficients of materials. (Tadworth): Research Department, Engineering Division, British Broadcasting Corporation, 1992.

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Book chapters on the topic "Reverberation"

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Crighton, D. G., A. P. Dowling, J. E. Ffowcs Williams, M. Heckl, and F. G. Leppington. "Reverberation." In Modern Methods in Analytical Acoustics, 610–30. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-0399-8_22.

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Pierce, Alexandra, and Roger Pierce. "Reverberation." In Expressive Movement, 141–66. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-6523-3_10.

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Coldstream, John. "Reverberation." In Victim, 103–8. London: British Film Institute, 2011. http://dx.doi.org/10.1007/978-1-84457-711-8_6.

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Reiss, Joshua. "Reverberation." In Working with the Web Audio API, 158–72. London: Focal Press, 2022. http://dx.doi.org/10.4324/9781003221937-18.

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Toft, Robert. "Reverberation." In Recording Classical Music, 89–104. New York, NY: Routledge, 2020.: Focal Press, 2019. http://dx.doi.org/10.4324/9781351213783-9.

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Talbot-Smith, Michael. "Reverberation." In Broadcast Sound Technology, 39–49. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003460510-6.

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Goodwin, Simon N. "Interactive Reverberation." In Beep to Boom, 233–48. New York, NY : Routledge, 2019. | Series: Audio engineering society presents …: Routledge, 2019. http://dx.doi.org/10.4324/9781351005548-21.

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Hui, Junying, and Xueli Sheng. "Reverberation Channel." In Underwater Acoustic Channel, 175–91. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0774-6_6.

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McDaniel, Suzanne T. "Sea Surface Reverberation." In Ocean Reverberation, 3–10. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2078-4_1.

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Kelly, J. G., R. N. Carpenter, M. Buffman, and E. R. Levine. "Measurements of High Frequency Reverberation in Shallow Water." In Ocean Reverberation, 85–90. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2078-4_10.

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Conference papers on the topic "Reverberation"

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Chen-lu Feng, Li-pi Niu, Ping Shi, Zi-he Qiu, and Yuan Sha. "A method for extending reverberation time of Dattorro's reverberator." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7382222.

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Serra, Ramiro. "Evanescent reverberation." In 2012 International Symposium on Electromagnetic Compatibility - EMC EUROPE. IEEE, 2012. http://dx.doi.org/10.1109/emceurope.2012.6396833.

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Choi, Yeonjong, Chao Xie, and Tomoki Toda. "Reverberation-Controllable Voice Conversion Using Reverberation Time Estimator." In INTERSPEECH 2023. ISCA: ISCA, 2023. http://dx.doi.org/10.21437/interspeech.2023-1356.

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Wang, Xiao-Yu, Yi-Xin Yang, Yao-Zhen Wu, Feng Tian, and Yong Wang. "Passive reverberation nulling for target enhancement based on reverberation subspace estimation." In 2012 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2012. http://dx.doi.org/10.1109/icspcc.2012.6335695.

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Serra, Ramiro, and Flavio Canavero. "Linking a one-dimensional reverberation chamber model with real Reverberation Chambers." In 2008 International Symposium on Electromagnetic Compatibility - EMC Europe. IEEE, 2008. http://dx.doi.org/10.1109/emceurope.2008.4786856.

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An, Ting, Guizhou Lv, Zhuangzhi Han, and Zhiyong Liu. "Overview of Reverberation Chamber." In 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/ncce-18.2018.31.

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Wallace, Jon W., Rashid Mehmood, and Michael A. Jensen. "Electronically reconfigurable reverberation chambers." In 2014 8th European Conference on Antennas and Propagation (EuCAP). IEEE, 2014. http://dx.doi.org/10.1109/eucap.2014.6902626.

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Toma, N., M. Topa, and E. Szopos. "On improved reverberation algorithms." In 47th International Symposium ELMAR, 2005. IEEE, 2005. http://dx.doi.org/10.1109/elmar.2005.193681.

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Aparna, V., Priyanka Saini, R. Pradeepa, and V. P. Felix. "Reverberation time series generation." In 2009 International Symposium on Ocean Electronics (SYMPOL 2009). IEEE, 2009. http://dx.doi.org/10.1109/sympol.2009.5664121.

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Badeau, Roland. "Unified Stochastic Reverberation Modeling." In 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, 2018. http://dx.doi.org/10.23919/eusipco.2018.8553562.

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Reports on the topic "Reverberation"

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Zhou, Ji-Xun. Shallow-Water Reverberation. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada611940.

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Perkins, John S. Reverberation Modeling Workshops. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612417.

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Perkins, John S. Reverberation Modeling Workshops. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531397.

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Salazar, Robert, Megan Daily, Matthew Halligan, Joseph M. Rudys, and Michael L. Horry. Reverberation Chamber Characterization. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1562826.

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Cable, Peter G. ASIAEX Reverberation Studies. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada629833.

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Perkins, John S. Reverberation Modeling Workshops. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573121.

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Cable, Peter G. ASIAEX Reverberation Studies. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625594.

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Kuperman, William A., and William S. Hodgkiss. Environmentally Adaptive Reverberation Nulling. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada450858.

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Holland, Charles W. Applied Reverberation Modeling Workshop. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada542066.

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Holland, Charles W. Applied Reverberation Modeling Workshop. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada571676.

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