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Relevant bibliographies by topics / Synthetic waveform

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Academic literature on the topic 'Synthetic waveform'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Synthetic waveform"

1

Shragge, Jeff. "Waveform inversion by one-way wavefield extrapolation." GEOPHYSICS 72, no. 4 (2007): A47—A50. http://dx.doi.org/10.1190/1.2733622.

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One-way Riemannian wavefield extrapolation (RWE) on computational meshes conforming to the direction of turning-wave propagation is an alternative forward-modeling procedure for waveform inversion. Forward-modeling tests demonstrate that the RWE approach may be a sufficiently accurate approximation for calculating the wavefield phases important for early-arrival waveform inversion. Initial results indicate that RWE waveforms are well matched at wide offsets to finite-difference data, and can be used in a waveform inversion scheme to invert synthetic data for moderate 1D velocity perturbations.

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Milenkovic, Paul. "Least Mean Square Measures of Voice Perturbation." Journal of Speech, Language, and Hearing Research 30, no. 4 (1987): 529–38. http://dx.doi.org/10.1044/jshr.3004.529.

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A signal processing technique is described for measuring the jitter, shimmer, and signal-to-noise ratio of sustained vowels. The measures are derived from the least mean square fit of a waveform model to the digitized speech waveform. The speech waveform is digitized at an 8.3 kHz sampling rate, and an interpolation technique is used to improve the temporal resolution of the model fit. The ability of these procedures to measure low levels of perturbation is evaluated both on synthetic speech waveforms and on the speech recorded from subjects with normal voice characteristics.

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Keers, Henk, Lane R. Johnson, and Don W. Vasco. "Acoustic crosswell imaging using asymptotic waveforms." GEOPHYSICS 65, no. 5 (2000): 1569–82. http://dx.doi.org/10.1190/1.1444845.

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Seismic waveforms are inverted using an asymptotic method. The asymptotic method models amplitudes correctly at the caustics and takes nonstationary raypaths into account when computing the waveforms, and thus is an extension of geometrical ray theory. Using numerical differencing, partial derivatives of the data with respect to the model are computed. As expected, these partial derivatives (or sensitivity functions) are concentrated along, but not confined to, raypaths. The sensitivity functions enable the formulation of a waveform inversion algorithm, which is applied to a synthetic crosswel

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Vasco, D. W., Henk Keers, John E. Peterson, and Ernest Majer. "Zeroth‐order asymptotics: Waveform inversion of the lowest degree." GEOPHYSICS 68, no. 2 (2003): 614–28. http://dx.doi.org/10.1190/1.1567231.

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Sensitivity computation is an integral part of many waveform inversion algorithms. An accurate and efficient technique for sensitivity computation follows from the zero‐order asymptotic solution to the elastodynamic equation of motion. Given the particular form of the asymptotic solution, we show that perturbations in high‐frequency waveforms are primarily sensitive to perturbations in phase. The resulting expression for waveform sensitivity is the time derivative of the synthetic seismogram multiplied by the phase sensitivity. All of the necessary elements for a step in the waveform inversion

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Lee, Kee-Woong, and Woo-Kyung Lee. "Waveform diversity for SAR ECCM based on random phase and code rate transition." International Journal of Microwave and Wireless Technologies 9, no. 6 (2017): 1345–54. http://dx.doi.org/10.1017/s1759078717000678.

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In this paper, we propose an effective waveform diversity scheme that can be applicable to synthetic aperture radar (SAR) operations affected by interfering signals. A novel approach is taken to achieve fully adaptive SAR waveform diversity that generates sufficient number of orthogonal signals with modest performance trade-off. To this purpose, multiple phased-code waveforms are arbitrarily generated with mutually low cross-correlations. They exhibit a highly flexible characteristic as their code lengths are not limited and Doppler tolerance is well preserved throughout SAR imaging. Various S

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Sun, Xinhua, Xiaoming Tang, C. H. (Arthur) Cheng, and L. Neil Frazer. "P- and S-wave attenuation logs from monopole sonic data." GEOPHYSICS 65, no. 3 (2000): 755–65. http://dx.doi.org/10.1190/1.1444774.

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In this paper, a modification of an existing method for estimating relative P-wave attenuation is proposed. By generating synthetic waveforms without attenuation, the variation of geometrical spreading related to changes in formation properties with depth can be accounted for. With the modified method, reliable P- and S-wave attenuation logs can be extracted from monopole array acoustic waveform log data. Synthetic tests show that the P- and S-wave attenuation values estimated from synthetic waveforms agree well with their respective model values. In‐situ P- and S-wave attenuation profiles pro

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Chen, Kai, Sheng Jin, and Ming Deng. "Multifunction waveform generator for EM receiver testing." Geoscientific Instrumentation, Methods and Data Systems 7, no. 1 (2018): 11–19. http://dx.doi.org/10.5194/gi-7-11-2018.

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Abstract. In many electromagnetic (EM) methods – such as magnetotelluric, spectral-induced polarization (SIP), time-domain-induced polarization (TDIP), and controlled-source audio magnetotelluric (CSAMT) methods – it is important to evaluate and test the EM receivers during their development stage. To assess the performance of the developed EM receivers, controlled synthetic data that simulate the observed signals in different modes are required. In CSAMT and SIP mode testing, the waveform generator should use the GPS time as the reference for repeating schedule. Based on our testing, the freq

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Sinha, Mrinal, and Gerard T. Schuster. "Interferometric full-waveform inversion." GEOPHYSICS 84, no. 1 (2019): R45—R60. http://dx.doi.org/10.1190/geo2018-0047.1.

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Velocity errors in the shallow part of the velocity model can lead to erroneous estimates of the full-waveform inversion (FWI) tomogram. If the location and topography of a reflector are known, then such a reflector can be used as a reference reflector to update the underlying velocity model. Reflections corresponding to this reference reflector are windowed in the data space. Windowed reference reflections are then crosscorrelated with reflections from deeper interfaces, which leads to partial cancellation of static errors caused by the overburden above the reference interface. Interferometri

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Jeon, Se-Yeon, Fabian Glatz, and Michelangelo Villano. "A Waveform-Encoded SAR Implementation Using a Limited Number of Cyclically Shifted Chirps." Remote Sensing 13, no. 15 (2021): 3038. http://dx.doi.org/10.3390/rs13153038.

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Synthetic aperture radar (SAR) provides high-resolution images of the Earth’s surface irrespective of sunlight and weather conditions. In conventional spaceborne SAR, nadir echoes caused by the pulsed operation of SAR may significantly affect the SAR image quality. Therefore, the pulse repetition frequency (PRF) is constrained within the SAR system design to avoid the appearance of nadir echoes in the SAR image. As an alternative, the waveform-encoded SAR concept using a pulse-to-pulse variation of the transmitted waveform and dual-focus postprocessing can be exploited for nadir echo removal a

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Wang, Yichuan, and Igor B. Morozov. "A simple approach to nonstationary source waveform estimation in seismic records." GEOPHYSICS 85, no. 3 (2020): V257—V268. http://dx.doi.org/10.1190/geo2019-0133.1.

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A simple and practical method for source-waveform estimation from reflection seismic records is implemented by iterative identification of locally strongest reflections. Instead of conventional hypotheses about statistical properties of the whole records, the method is based on a general observation that stronger reflection peaks occur relatively sparsely and that smaller peaks adjacent to them are mutually incoherent. Tests with real well logs suggest that the subsurface often possesses such sparseness. Based on this property, the source waveform is obtained from seismic records by optimizing

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Dissertations / Theses on the topic "Synthetic waveform"

1

Lee, Woo Kyung. "Waveform design for advanced synthetic aperture radar." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342178.

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Davis, Michael Scott. "MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53566.

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This dissertation analyzes the capability of multiple-input, multiple-output (MIMO) radar techniques to improve the image quality and area-coverage rate of synthetic aperture imaging systems. A signal processing architecture for MIMO radar is used to understand the applicability of MIMO for synthetic aperture radar (SAR) and synthetic aperture sonar (SAS) systems. MIMO SAR/SAS is shown to be a natural extension of standard multichannel synthetic aperture imaging techniques to exploit transmit degrees of freedom in addition to those used on receive. Degradation in range sidelobe performance and

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Zhang, Fengjiao. "Quantifying the Seismic Response of Underground Structures via Seismic Full Waveform Inversion : Experiences from Case Studies and Synthetic Benchmarks." Doctoral thesis, Uppsala universitet, Geofysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-187142.

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Seismic full waveform inversion (waveform tomography) is a method to reconstruct the underground velocity field in high resolution using seismic data. The method was first introduced during the 1980’s and became computationally feasible during the late 1990’s when the method was implemented in the frequency domain. This work presents three case studies and one synthetic benchmark of full waveform inversion applications. Two of the case studies are focused on time-lapse cross-well and 2D reflection seismic data sets acquired at the Ketzin CO2 geological storage site. These studies are parts of

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Jones, Aaron M. "Performance Prediction of Constrained Waveform Design for Adaptive Radar." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1467821668.

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Hunter, Matthew. "DESIGN OF POLYNOMIAL-BASED FILTERS FOR CONTINUOUSLY VARIABLE SAMPLE RATE CONVERSION WITH APPLICATIONS IN SYNTHETIC INSTRUMENTATI." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2120.

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In this work, the design and application of Polynomial-Based Filters (PBF) for continuously variable Sample Rate Conversion (SRC) is studied. The major contributions of this work are summarized as follows. First, an explicit formula for the Fourier Transform of both a symmetrical and nonsymmetrical PBF impulse response with variable basis function coefficients is derived. In the literature only one explicit formula is given, and that for a symmetrical even length filter with fixed basis function coefficients. The frequency domain optimization of PBFs via linear programming has been proposed in

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Rossler, Carl W. Jr. "Adaptive Radar with Application to Joint Communication and Synthetic Aperture Radar (CoSAR)." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366144863.

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Schulz, Yvonne Katrin [Verfasser], Stefan [Akademischer Betreuer] Kniesburges, and Stefan [Gutachter] Kniesburges. "Parameter analysis of the Glottal Area Waveform based on high-speed recordings within a synthetic larynx model / Yvonne Katrin Schulz ; Gutachter: Stefan Kniesburges ; Betreuer: Stefan Kniesburges." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2020. http://d-nb.info/120337769X/34.

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Heefner, Jay Wilson. "Accelerator waveform synthesis." Scholarly Commons, 1988. https://scholarlycommons.pacific.edu/uop_etds/2168.

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Li, Lifeng. "SYNTHESIS OF SINGLE-HOLE VIBRATION WAVEFORMS FROM A MINING BLAST." UKnowledge, 2018. https://uknowledge.uky.edu/mng_etds/42.

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In mining engineering, blast-induced ground vibration has become one of the major concerns when production blasts are conducted, especially when the mining areas and the blast sites are near inhabited areas or infrastructure of interest. To comply with regulations, a vibration monitoring program should be developed for each mining operation. The vibration level, which is usually indicated by the peak particle velocity (PPV) of the vibration waveform, should fall below the maximum allowable values. Ideally, when blasting is near structures of interest (power towers, dams, houses, etc.), the vib

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Couny, Francois. "Photonic solutions towards optical waveform synthesis." Thesis, University of Bath, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.478946.

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This thesis presents the development of photonic tools towards the realisation of an optical intensity waveform synthesiser and of an attosecond pulse synthesiser based on the generation and Fourier synthesis of a continuous-wave coherent spectral comb spanning more than 3 octaves (UV to mid-IR) by use of a gas-filled hollow core photonic crystal fibre (HC-PCF).

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Books on the topic "Synthetic waveform"

1

Chapman, David M. F. Synthetic ocean waveforms for testing sonobuoy suspensions. Defence Research Establishment Atlantic, 1990.

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Ali, Md Ganjer. Real-time systems for analysis and synthesis of complex waveforms. University of Manchester, 1994.

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3

Chand, Gurmail. Real-time digital synthesis of transient waveforms. 1987.

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4

Wideband Signal Analysis and Synthesis Applied to Electromagnetic Transient Waveforms. Storming Media, 1996.

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Dutoit, Thierry, and Yannis Stylianou. Text-to-Speech Synthesis. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0017.

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This article gives an introduction to state-of-the-art text-to-speech (TTS) synthesis systems, showing both the natural language processing and the digital signal processing problems involved. Text-to-speech (TTS) synthesis is the art of designing talking machines. The article begins with brief user-oriented description of a general TTS system and comments on its commercial applications. It then gives a functional diagram of a modern TTS system, highlighting its components. It describes its morphosyntactic module. Furthermore, it examines why sentence-level phonetization cannot be achieved by

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Book chapters on the topic "Synthetic waveform"

1

Kaneko, Ryosuke, Hiromichi Nagao, Shin-ichi Ito, Kazushige Obara, and Hiroshi Tsuruoka. "Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75015-2_4.

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AbstractThe installation of dense seismometer arrays in Japan approximately 20 years ago has led to the discovery of deep low-frequency tremors, which are oscillations clearly different from ordinary earthquakes. As such tremors may be related to large earthquakes, it is an important issue in seismology to investigate tremors that occurred before establishing dense seismometer arrays. We use deep learning aiming to detect evidence of tremors from past seismic data of more than 50 years ago, when seismic waveforms were printed on paper. First, we construct a convolutional neural network (CNN) based on the ResNet architecture to extract tremors from seismic waveform images. Experiments applying the CNN to synthetic images generated according to seismograph paper records show that the trained model can correctly determine the presence of tremors in the seismic waveforms. In addition, the gradient-weighted class activation mapping clearly indicates the tremor location on each image. Thus, the proposed CNN has a strong potential for detecting tremors on numerous paper records, which can enable to deepen the understanding of the relations between tremors and earthquakes.

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2

Friedman, Avner. "High Resolution Sonar Waveform Synthesis." In The IMA Volumes in Mathematics and Its Applications. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4615-7399-9_11.

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Izadian, Afshin. "Waveform and Source Analyses." In Fundamentals of Modern Electric Circuit Analysis and Filter Synthesis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02484-0_3.

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Madariaga, Raúl. "Waveform Synthesis by Ray Theoretical Methods." In Digital Seismology and Fine Modeling of the Lithosphere. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-6759-6_4.

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Kirchner, Matthew S., Tara M. Fortier, Danielle Braje, Andy M. Weiner, Leo Hollberg, and Scott A. Diddams. "Toward Ultrafast Optical Waveform Synthesis with a Stabilized Ti:Sapphire Frequency Comb." In Springer Series in Chemical Physics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95946-5_279.

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Tóth, Bálint Pál, Kornél István Kis, György Szaszák, and Géza Németh. "Ensemble Deep Neural Network Based Waveform-Driven Stress Model for Speech Synthesis." In Speech and Computer. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43958-7_32.

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Poppe, Andreas, Ronald Holzwarth, Alexander Apolonski, et al. "Sub-10-fs light pulses with stabilized carrier-envelope phase: optical waveform synthesis." In Ultrafast Phenomena XII. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56546-5_22.

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Liu, Y., S. G. Park, and A. M. Werner. "Terahertz Waveform Synthesis and Enhanced Narrow-Band Terahertz Generation Using Femtosecond Pulse Shaping." In Springer Series in Chemical Physics. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80314-7_29.

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Masnicki, Romuald, and Adam Minczyk. "Synthesis of Three-Phase Waveforms Using the Selected Microprocessor – Analysis of Constraints." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11187-8_14.

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Dvorkovich, V. P., and A. V. Dvorkovich. "Synthesis of High-Performance Window Functions Using Minimization of Difference Between Its Waveform and Spectrum." In Distributed Computer and Communication Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36614-8_12.

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Conference papers on the topic "Synthetic waveform"

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Hunter, Matthew T., Wasfy B. Mikhael, and Tim J. Tocco. "Arbitrary Waveform Generators for synthetic instrumentation." In 2008 IEEE AUTOTESTCON. IEEE, 2008. http://dx.doi.org/10.1109/autest.2008.4662600.

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Krieger, Gerhard, Nicolas Gebert, and Alberto Moreira. "Multidimensional waveform encoding for spaceborne synthetic aperture radar systems." In 2007 International Waveform Diversity and Design Conference. IEEE, 2007. http://dx.doi.org/10.1109/wddc.2007.4339427.

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Yazici, Birsen, Can Evren Yarman, and Margaret Cheney. "Clutter rejecting waveforms for synthetic aperture radar traversing arbitrary flight path." In 2006 International Waveform Diversity & Design Conference. IEEE, 2006. http://dx.doi.org/10.1109/wdd.2006.8321439.

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Boonya-Ananta, Tananant, Andres J. Rodriguez, Ajmal Ajmal, Du Le, Joshua D. Hutcheson, and Jessica C. Ramella-Roman. "Synthetic photoplethysmographic waveform at the radial artery." In Optical Interactions with Tissue and Cells XXXII, edited by Bennett L. Ibey and Norbert Linz. SPIE, 2021. http://dx.doi.org/10.1117/12.2578951.

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Zhu, Bingqi, Hui Sheng, Yesheng Gao, Yiran Jin, Kaizhi Wang, and Xingzhao Liu. "Waveform design for deterministic binary targets." In 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2015. http://dx.doi.org/10.1109/apsar.2015.7306239.

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Gao, Caicai, Kah Chan Teh, and Aifei Liu. "Frequency coding waveform with segment LFM." In 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2015. http://dx.doi.org/10.1109/apsar.2015.7306260.

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Wang, Wen-Qin, Qicong Peng, and Jingye Cai. "Diversified MIMO SAR waveform analysis and generation." In 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2009. http://dx.doi.org/10.1109/apsar.2009.5374090.

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Yonel, Bariscan, Eric Mason, and Birsen Yazici. "Deep learning for waveform estimation in passive synthetic aperture radar imaging." In Algorithms for Synthetic Aperture Radar Imagery XXV, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2018. http://dx.doi.org/10.1117/12.2305882.

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Jendo, Jacek, and Mateusz Pasternak. "Synthetic Wideband Waveform for Ground Penetrating Radar Application." In 2019 Signal Processing Symposium (SPSympo). IEEE, 2019. http://dx.doi.org/10.1109/sps.2019.8881991.

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Huang*, J., and S. C. Maxwell. "Synthetic Waveform Guided Microseismic Image Validation and Reprocessing." In 2017 Workshop: Microseismic Technologies and Applications, Hefei, China, 4-6 June 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/microseismic2017-027.

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Reports on the topic "Synthetic waveform"

1

Doerry, Armin Walter, and John M. Andrews. Frequency-Dependent Blanking with Digital Linear Chirp Waveform Synthesis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1323319.

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Weiner, Andrew M. Photonic Synthesis and Processing of Ultrabroadband Radio-Frequency Waveforms. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada517538.

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