Log in

Relevant bibliographies by topics / Raw waveform / Journal articles

To see the other types of publications on this topic, follow the link: Raw waveform.

Journal articles on the topic 'Raw waveform'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Raw waveform.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Stelling, N., and K. Richter. "VOXEL BASED REPRESENTATION OF FULL-WAVEFORM AIRBORNE LASER SCANNER DATA FOR FORESTRY APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 755–62. http://dx.doi.org/10.5194/isprs-archives-xli-b8-755-2016.

Full text

Abstract:

The advantages of using airborne full-waveform laser scanner data in forest applications, e.g. for the description of the vertical vegetation structure or accurate biomass estimation, have been emphasized in many publications. To exploit the full potential offered by airborne full-waveform laser scanning data, the development of voxel based methods for data analysis is essential. In contrast to existing approaches based on the extraction of discrete 3D points by a Gaussian decomposition, it is very promising to derive the voxel attributes from the digitised waveform directly. For this purpose,

APA, Harvard, Vancouver, ISO, and other styles

2

Stelling, N., and K. Richter. "VOXEL BASED REPRESENTATION OF FULL-WAVEFORM AIRBORNE LASER SCANNER DATA FOR FORESTRY APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 755–62. http://dx.doi.org/10.5194/isprsarchives-xli-b8-755-2016.

Full text

Abstract:

The advantages of using airborne full-waveform laser scanner data in forest applications, e.g. for the description of the vertical vegetation structure or accurate biomass estimation, have been emphasized in many publications. To exploit the full potential offered by airborne full-waveform laser scanning data, the development of voxel based methods for data analysis is essential. In contrast to existing approaches based on the extraction of discrete 3D points by a Gaussian decomposition, it is very promising to derive the voxel attributes from the digitised waveform directly. For this purpose,

APA, Harvard, Vancouver, ISO, and other styles

3

Xu, D. C., B. D. Xu, E. J. Bao, et al. "Towards the ultimate PMT waveform analysis for neutrino and dark matter experiments." Journal of Instrumentation 17, no. 06 (2022): P06040. http://dx.doi.org/10.1088/1748-0221/17/06/p06040.

Full text

Abstract:

Abstract Photomultiplier tube (PMT) voltage waveforms are the raw data of many neutrino and dark matter experiments. Waveform analysis is the cornerstone of data processing. We evaluate the performance of all the waveform analysis algorithms known to us and find fast stochastic matching pursuit the best in accuracy. Significant time (up to × 2) and energy (up to × 1.07) resolution boosts are attainable with fast stochastic matching pursuit, approaching theoretical limits. Other methods also outperform the traditional threshold crossing approach in time resolution.

APA, Harvard, Vancouver, ISO, and other styles

4

Li, Shaobo, Yong Yao, Jie Hu, Guokai Liu, Xuemei Yao, and Jianjun Hu. "An Ensemble Stacked Convolutional Neural Network Model for Environmental Event Sound Recognition." Applied Sciences 8, no. 7 (2018): 1152. http://dx.doi.org/10.3390/app8071152.

Full text

Abstract:

Convolutional neural networks (CNNs) with log-mel audio representation and CNN-based end-to-end learning have both been used for environmental event sound recognition (ESC). However, log-mel features can be complemented by features learned from the raw audio waveform with an effective fusion method. In this paper, we first propose a novel stacked CNN model with multiple convolutional layers of decreasing filter sizes to improve the performance of CNN models with either log-mel feature input or raw waveform input. These two models are then combined using the Dempster–Shafer (DS) evidence theory

APA, Harvard, Vancouver, ISO, and other styles

5

Younis, Raneen, and Andreas Reinhardt. "A Study on Fundamental Waveform Shapes in Microscopic Electrical Load Signatures." Energies 13, no. 12 (2020): 3039. http://dx.doi.org/10.3390/en13123039.

Full text

Abstract:

The number of globally deployed smart meters is rising, and so are the sampling rates at which they can meter electrical consumption data. As a consequence thereof, the technological foundation is established to track the power intake of buildings at sampling rates up to several k Hz . Processing raw signal waveforms at such rates, however, imposes a high resource demand on the metering devices and data processing algorithms alike. In fact, the ensuing resource demand often exceeds the capabilities of the embedded systems present in current-generation smart meters. Consequently, the majority o

APA, Harvard, Vancouver, ISO, and other styles

6

Li, Zheming, and Wei He. "A Continuous Blood Pressure Estimation Method Using Photoplethysmography by GRNN-Based Model." Sensors 21, no. 21 (2021): 7207. http://dx.doi.org/10.3390/s21217207.

Full text

Abstract:

Compared with diastolic blood pressure (DBP) and systolic blood pressure (SBP), the blood pressure (BP) waveform contains richer physiological information that can be used for disease diagnosis. However, most models based on photoplethysmogram (PPG) signals can only estimate SBP and DBP and are susceptible to noise signals. We focus on estimating the BP waveform rather than discrete BP values. We propose a model based on a generalized regression neural network to estimate the BP waveform, SBP and DBP. This model takes the raw PPG signal as input and BP waveform as output. The SBP and DBP are e

APA, Harvard, Vancouver, ISO, and other styles

7

Pashaei, Mohammad, Michael J. Starek, Craig L. Glennie, and Jacob Berryhill. "Terrestrial Lidar Data Classification Based on Raw Waveform Samples Versus Online Waveform Attributes." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1–19. http://dx.doi.org/10.1109/tgrs.2021.3132356.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Moriya, Hirokazu. "Phase-only correlation of time-varying spectral representations of microseismic data for identification of similar seismic events." GEOPHYSICS 76, no. 6 (2011): WC37—WC45. http://dx.doi.org/10.1190/geo2011-0021.1.

Full text

Abstract:

Identification of similar seismic events is important for precise estimation of source locations and for evaluation of subsurface structure. Phase-only correlation is well known as a real-time image-matching method for fingerprint identification. I applied the phase-only correlation in a geophysical context to identify similar waveforms among microseismic events. The waveforms were first transformed into time-varying spectral representations to express frequency content in the time-frequency domain. The phase-only correlation function is calculated between two time-varying spectral representat

APA, Harvard, Vancouver, ISO, and other styles

9

Cole, P. T., and M. Carlos. "Use of Advanced A.E. Analysis for Source Discrimination Using Captured Waveforms." Advanced Materials Research 13-14 (February 2006): 401–6. http://dx.doi.org/10.4028/www.scientific.net/amr.13-14.401.

Full text

Abstract:

Conventional methods of acquiring and using acoustic emission (AE) discard the raw signal waveform after extracting signal features from it. The main reason for this is the number of bytes required to save hundreds of thousands of AE waveforms, using a modern high speed multichannel system the hard-drive may be quickly filled. One side effect of this “feature extraction” approach is that information is thrown away with the wave-form. The advent of systems capable of acquiring AE waveforms on all channels has opened up the opportunity to use this extra data to get more information about the sou

APA, Harvard, Vancouver, ISO, and other styles

10

Zhang, Yu, Bei Wang, Jin Jing, Jian Zhang, Junzhong Zou, and Masatoshi Nakamura. "A Comparison Study on Multidomain EEG Features for Sleep Stage Classification." Computational Intelligence and Neuroscience 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/4574079.

Full text

Abstract:

Feature extraction from physiological signals of EEG (electroencephalogram) is an essential part for sleep staging. In this study, multidomain feature extraction was investigated based on time domain analysis, nonlinear analysis, and frequency domain analysis. Unlike the traditional feature calculation in time domain, a sequence merging method was developed as a preprocessing procedure. The objective is to eliminate the clutter waveform and highlight the characteristic waveform for further analysis. The numbers of the characteristic activities were extracted as the features from time domain. T

APA, Harvard, Vancouver, ISO, and other styles

11

Warner, Mike, Tenice Nangoo, Adrian Umpleby, et al. "Automated salt model building: From compaction trend to final velocity model using waveform inversion." Leading Edge 42, no. 3 (2023): 196–206. http://dx.doi.org/10.1190/tle42030196.1.

Full text

Abstract:

Conventional seismic velocity model building in complicated salt-affected areas requires the explicit identification of salt boundaries in migrated images and typically involves testing of possible subsurface scenarios through multiple generations. The resulting velocity models are slow to generate and may contain interpreter-driven features that are difficult to verify. We show that it is possible to build a full final velocity model using advanced forms of full-waveform inversion applied directly to raw field data, starting from a model that contains only a simple 1D compaction trend. This a

APA, Harvard, Vancouver, ISO, and other styles

12

Song, Sixuan, Tianxin Zhang, Zhongxing Wang, Renzhong Pei, Shichu Yan, and Kai Chen. "Full waveform vibration and shock measurement tool for measurement-while-drilling." AIP Advances 12, no. 8 (2022): 085114. http://dx.doi.org/10.1063/5.0090505.

Full text

Abstract:

The bottom hole assembly during the drilling process is prone to fatigue and damage under the influence of alternating stress, particularly the drill bit and bottom part of the bottom hole assembly. The vibration and shock data are normally used to estimate the working status of the drill collars and for data post-processing of a particular logging method. The recent developments in drilling technology have increased investigations into continuous vibration and shock information measurement. However, existing tools store only the results of signal processing and cannot determine the raw full w

APA, Harvard, Vancouver, ISO, and other styles

13

Oo, Thandar, and Pornchai Phukpattaranont. "Signal-to-Noise Ratio Estimation in Electromyography Signals Contaminated with Electrocardiography Signals." Fluctuation and Noise Letters 19, no. 03 (2020): 2050027. http://dx.doi.org/10.1142/s0219477520500273.

Full text

Abstract:

When electromyography (EMG) signals are collected from muscles in the torso, they can be perturbed by the electrocardiography (ECG) signals from heart activity. In this paper, we present a novel signal-to-noise ratio (SNR) estimate for an EMG signal contaminated by an ECG signal. We use six features that are popular in assessing EMG signals, namely skewness, kurtosis, mean average value, waveform length, zero crossing and mean frequency. The features were calculated from the raw EMG signals and the detail coefficients of the discrete stationary wavelet transform. Then, these features are used

APA, Harvard, Vancouver, ISO, and other styles

14

Li, Weiqiang, Estel Cardellach, Serni Ribó, Santi Oliveras, and Antonio Rius. "Exploration of Multi-Mission Spaceborne GNSS-R Raw IF Data Sets: Processing, Data Products and Potential Applications." Remote Sensing 14, no. 6 (2022): 1344. http://dx.doi.org/10.3390/rs14061344.

Full text

Abstract:

Earth reflected Global Navigation Satellite System (GNSS) signals can be received by dedicated orbital receivers for remote sensing and Earth observation (EO) purposes. Different spaceborne missions have been launched during the past years, most of which can only provide the delay-Doppler map (DDM) of the power of the reflected GNSS signals as their main data products. In addition to the power DDM products, some of these missions have collected a large amount of raw intermediate frequency (IF) data, which are the bit streams of raw signal samples recorded after the analog-to-digital converters

APA, Harvard, Vancouver, ISO, and other styles

15

Pirotti, F., A. Guarnieri, A. Masiero, A. Vettore, and E. Lingua. "Processing lidar waveform data for 3D visual assessment of forest environments." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 493–99. http://dx.doi.org/10.5194/isprsarchives-xl-5-493-2014.

Full text

Abstract:

The objective of this report is to present and discuss a work-flow for extracting, from full-waveform (FW) lidar data, formats which are compatible with common information systems (GIS) and statistical software packages. Full-waveform, specifically for forestry, got attention from the scientific community because a more in-depth analysis can add valuable information for classification and modelling of related variables (e.g. biomass). In order to assess if this is feasible and if the results are useful, the end-user has to deal with raw datasets from lidar sensors. In this study case we propos

APA, Harvard, Vancouver, ISO, and other styles

16

&NA;. "Practical Use of the Raw Electroencephalogram Waveform During General Anesthesia." Survey of Anesthesiology 54, no. 2 (2010): 91–92. http://dx.doi.org/10.1097/01.sa.0000367805.02007.f2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Tang, Junlei, Junyang Li, Hu Wang, Yingying Wang, and Geng Chen. "In-Situ Monitoring and Analysis of the Pitting Corrosion of Carbon Steel by Acoustic Emission." Applied Sciences 9, no. 4 (2019): 706. http://dx.doi.org/10.3390/app9040706.

Full text

Abstract:

The acoustic emission (AE) technique was applied to monitor the pitting corrosion of carbon steel in NaHCO3 + NaCl solutions. The open circuit potential (OCP) measurement and corrosion morphology in-situ capturing using an optical microscope were conducted during AE monitoring. The corrosion micromorphology was characterized with a scanning electron microscope (SEM). The propagation behavior and AE features of natural pitting on carbon steel were investigated. After completion of the signal processing, including pre-treatment, shape preserving interpolation, and denoising, for raw AE waveforms

APA, Harvard, Vancouver, ISO, and other styles

18

Zhang, Lilun, Dezhi Wang, Changchun Bao, Yongxian Wang, and Kele Xu. "Large-Scale Whale-Call Classification by Transfer Learning on Multi-Scale Waveforms and Time-Frequency Features." Applied Sciences 9, no. 5 (2019): 1020. http://dx.doi.org/10.3390/app9051020.

Full text

Abstract:

Whale vocal calls contain valuable information and abundant characteristics that are important for classification of whale sub-populations and related biological research. In this study, an effective data-driven approach based on pre-trained Convolutional Neural Networks (CNN) using multi-scale waveforms and time-frequency feature representations is developed in order to perform the classification of whale calls from a large open-source dataset recorded by sensors carried by whales. Specifically, the classification is carried out through a transfer learning approach by using pre-trained state-

APA, Harvard, Vancouver, ISO, and other styles

19

Ito, Satoru, Kenneth R. Lutchen, and Béla Suki. "Effects of heterogeneities on the partitioning of airway and tissue properties in normal mice." Journal of Applied Physiology 102, no. 3 (2007): 859–69. http://dx.doi.org/10.1152/japplphysiol.00884.2006.

Full text

Abstract:

We measured the mechanical properties of the respiratory system of C57BL/6 mice using the optimal ventilation waveform method in closed- and open-chest conditions at different positive end-expiratory pressures. The tissue damping (G), tissue elastance (H), airway resistance (Raw), and hysteresivity were obtained by fitting the impedance data to three different models: a constant-phase model by Hantos et al. (Hantos Z, Daroczy B, Suki B, Nagy S, Fredberg JJ. J Appl Physiol 72: 168–178, 1992), a heterogeneous Raw model by Suki et al. (Suki B, Yuan H, Zhang Q, Lutchen KR. J Appl Physiol 82: 1349–

APA, Harvard, Vancouver, ISO, and other styles

20

McMillan, Justin R., Jonathan Botts, and Jason E. Summers. "Deep reinforcement learning for cognitive active-sonar employment." Journal of the Acoustical Society of America 151, no. 4 (2022): A101. http://dx.doi.org/10.1121/10.0010785.

Full text

Abstract:

We introduce a framework to leverage deep reinforcement learning (RL) for active sonar employment, wherein we train an RL agent to select waveform parameters, which maximize the probability of single-target detection. We first simulate raw sonar returns of targets and clutter in reverberation and noise using a physics-based sonar-simulation model, the Sonar Simulation Toolkit (SST), then process the resulting signatures into network inputs via an in-house signal and information processing model of an archetypal antisubmarine warfare (ASW) processing chain. We demonstrate that the trained RL ag

APA, Harvard, Vancouver, ISO, and other styles

21

Miryala, S., S. Mittal, Y. Ren, et al. "Waveform processing using neural network algorithms on the front-end electronics." Journal of Instrumentation 17, no. 01 (2022): C01039. http://dx.doi.org/10.1088/1748-0221/17/01/c01039.

Full text

Abstract:

Abstract In a multi-channel radiation detector readout system, waveform sampling, digitization, and raw data transmission to the data acquisition system constitute a conventional processing chain. The deposited energy on the sensor is estimated by extracting peak amplitudes, area under pulse envelopes from the raw data, and starting times of signals or time of arrivals. However, such quantities can be estimated using machine learning algorithms on the front-end Application-Specific Integrated Circuits (ASICs), often termed as “edge computing”. Edge computation offers enormous benefits, especia

APA, Harvard, Vancouver, ISO, and other styles

22

Jóśko, Adam, Bogdan Dziadak, Jacek Starzyński, and Jan Sroka. "Derivative Probes Signal Integration Techniques for High Energy Pulses Measurements." Energies 15, no. 6 (2022): 2244. http://dx.doi.org/10.3390/en15062244.

Full text

Abstract:

The paper presents problems related to the processing of signals recorded with differential field probes E and H. The fundamental problem to which special attention has been paid is the result of the integration operation. Due to the presence of constant/slowly-varying components in the raw signal, there is a drift present in the outcome of integration. This line wander can be enormous. This is particularly evident if the integration is performed in a standard manner, uniformly over the entire recorded waveform. The paper contains the Authors’ proposition to segment the signal and perform the

APA, Harvard, Vancouver, ISO, and other styles

23

Liu, Chang-Le, Sze-Wei Fu, You-Jin Li, Jen-Wei Huang, Hsin-Min Wang, and Yu Tsao. "Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks." IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 1888–900. http://dx.doi.org/10.1109/taslp.2020.2976193.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Sharan, Roneel V. "Cough sound detection from raw waveform using SincNet and bidirectional GRU." Biomedical Signal Processing and Control 82 (April 2023): 104580. http://dx.doi.org/10.1016/j.bspc.2023.104580.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Sinclair, Jonathan, Paul John Taylor, and Sarah Jane Hobbs. "Digital Filtering of Three-Dimensional Lower Extremity Kinematics: an Assessment." Journal of Human Kinetics 39, no. 1 (2013): 25–36. http://dx.doi.org/10.2478/hukin-2013-0065.

Full text

Abstract:

Abstract Errors in kinematic data are referred to as noise and are an undesirable portion of any waveform. Noise is typically removed using a low-pass filter which removes the high frequency components of the signal. The selection of an optimal frequency cut-off is very important when processing kinematic information and a number of techniques exists for the determination of an optimal frequency cut-off. Despite the importance of cut-off frequency to the efficacy of kinematic analyses there is currently a paucity of research examining the influence of different cut-off frequencies on the resul

APA, Harvard, Vancouver, ISO, and other styles

26

Richter, K., N. Stelling, and H. G. Maas. "Correcting attenuation effects caused by interactions in the forest canopy in full-waveform airborne laser scanner data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 273–80. http://dx.doi.org/10.5194/isprsarchives-xl-3-273-2014.

Full text

Abstract:

Full-waveform airborne laser scanning offers a great potential for various forestry applications. Especially applications requiring information on the vertical structure of the lower canopy parts benefit from the great amount of information contained in waveform data. To enable the derivation of vertical forest canopy structure, the development of suitable voxel based data analysis methods is straightforward. Beyond extracting additional 3D points, it is very promising to derive the voxel attributes from the digitized waveform directly. For this purpose, the differential backscatter cross sect

APA, Harvard, Vancouver, ISO, and other styles

27

Wei, Hui, Weiwei Shu, Longjun Dong, Zhongying Huang, and Daoyuan Sun. "A Waveform Image Method for Discriminating Micro-Seismic Events and Blasts in Underground Mines." Sensors 20, no. 15 (2020): 4322. http://dx.doi.org/10.3390/s20154322.

Full text

Abstract:

The discrimination of micro-seismic events (events) and blasts is significant for monitoring and analyzing micro-seismicity in underground mines. To eliminate the negative effects of conventional discrimination methods, a waveform image discriminant method was proposed. Principal component analysis (PCA) was applied to extract the raw features of events and blasts through their waveform images that established by the recorded field data, and transform them into the new uncorrelated features. The amount of initial information retained in the derived features could be determined quantitatively b

APA, Harvard, Vancouver, ISO, and other styles

28

Zheng, Chunjun, Chunli Wang, and Ning Jia. "A two-channel speech emotion recognition model based on raw stacked waveform." Multimedia Tools and Applications 81, no. 8 (2022): 11537–62. http://dx.doi.org/10.1007/s11042-022-12378-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Shdefat, Ahmed Younes, Moon-Il Joo, Sung-Hoon Choi, and Hee-Cheol Kim. "Utilizing ECG Waveform Features as New Biometric Authentication Method." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 658. http://dx.doi.org/10.11591/ijece.v8i2.pp658-665.

Full text

Abstract:

<p>In this study, we are proposing a practical way for human identification based on a new biometric method. The new method is built on the use of the electrocardiogram (ECG) signal waveform features, which are produced from the process of acquiring electrical activities of the heart by using electrodes placed on the body. This process is launched over a period of time by using a recording device to read and store the ECG signal. On the contrary of other biometrics method like voice, fingerprint and iris scan, ECG signal cannot be copied or manipulated. The first operation for our system

APA, Harvard, Vancouver, ISO, and other styles

30

Dasios, Aristotelis, Clive McCann, and Timothy Astin. "Least‐squares inversion of in‐situ sonic Q measurements: Stability and resolution." GEOPHYSICS 69, no. 2 (2004): 378–85. http://dx.doi.org/10.1190/1.1707056.

Full text

Abstract:

We minimize the effect of noise and increase both the reliability and the resolution of attenuation estimates obtained from multireceiver full‐waveform sonics. Multiple measurements of effective attenuation were generated from full‐waveform sonic data recorded by an eight‐receiver sonic tool in a gas‐bearing sandstone reservoir using two independent techniques: the logarithmic spectral ratio (LSR) and the instantaneous frequency (IF) method. After rejecting unstable estimates [receiver separation <2 ft (0.61 m)], least‐squares inversion was used to combine the multiple estimates into high‐r

APA, Harvard, Vancouver, ISO, and other styles

31

Sakai, Hiroaki, Edward P. Ingenito, Rene Mora, et al. "Hysteresivity of the lung and tissue strip in the normal rat: effects of heterogeneities." Journal of Applied Physiology 91, no. 2 (2001): 737–47. http://dx.doi.org/10.1152/jappl.2001.91.2.737.

Full text

Abstract:

We measured lung impedance in rats in closed chest (CC), open chest (OC), and isolated lungs (IL) at four transpulmonary pressures with a optimal ventilator waveform. Data were analyzed with an homogeneous linear or an inhomogeneous linear model. Both models include tissue damping and elastance and airway inertance. The homogeneous linear model includes airway resistance (Raw), whereas the inhomogeneous linear model has a continuous distribution of Raw characterized by the mean Raw and the standard deviation of Raw (SDR). Lung mechanics were compared with tissue strip mechanics at frequencies

APA, Harvard, Vancouver, ISO, and other styles

32

Kim, Gwantae, Bonhwa Ku, Jae-Kwang Ahn, and Hanseok Ko. "Graph Convolution Networks for Seismic Events Classification Using Raw Waveform Data From Multiple Stations." IEEE Geoscience and Remote Sensing Letters 19 (2022): 1–5. http://dx.doi.org/10.1109/lgrs.2021.3127874.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Juvela, Lauri, Bajibabu Bollepalli, Vassilis Tsiaras, and Paavo Alku. "GlotNet—A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis." IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, no. 6 (2019): 1019–30. http://dx.doi.org/10.1109/taslp.2019.2906484.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Bennett, Cambell, Logan J. Voss, John P. M. Barnard, and James W. Sleigh. "Practical Use of the Raw Electroencephalogram Waveform During General Anesthesia: The Art and Science." Anesthesia & Analgesia 109, no. 2 (2009): 539–50. http://dx.doi.org/10.1213/ane.0b013e3181a9fc38.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Lanzano, Giovanni, Lucia Luzi, Carlo Cauzzi, et al. "Accessing European Strong-Motion Data: An Update on ORFEUS Coordinated Services." Seismological Research Letters 92, no. 3 (2021): 1642–58. http://dx.doi.org/10.1785/0220200398.

Full text

Abstract:

Abstract Strong ground motion records and free open access to strong-motion data repositories are fundamental inputs to seismology, engineering seismology, soil dynamics, and earthquake engineering science and practice. This article presents the current status and outlook of the Observatories and Research Facilities for European Seismology (ORFEUS) coordinated strong-motion seismology services, namely the rapid raw strong-motion (RRSM) and the engineering strong-motion (ESM) databases and associated web interfaces and webservices. We compare and discuss the role and use of these two systems us

APA, Harvard, Vancouver, ISO, and other styles

36

Vossen, Robbert van, Andrew Curtis, Andreas Laake, and Jeannot Trampert. "Surface-consistent deconvolution using reciprocity and waveform inversion." GEOPHYSICS 71, no. 2 (2006): V19—V30. http://dx.doi.org/10.1190/1.2187799.

Full text

Abstract:

Source and receiver responses must be equalized when their behavior or coupling changes with location within a given survey. Existing surface-consistent deconvolution techniques that account for these effects assume that common-midpoint (CMP) gathering is valid — the seismic trace is decomposed into a source function, a receiver response, a normal-incidence reflectivity term, and an offset-related component that is laterally shift invariant. As a result, the performance of existing surface-consistent deconvolution techniques is best when applied to primary reflection data only, since the offse

APA, Harvard, Vancouver, ISO, and other styles

37

Kaczka, David W., Edward P. Ingenito, Bela Suki, and Kenneth R. Lutchen. "Partitioning airway and lung tissue resistances in humans: effects of bronchoconstriction." Journal of Applied Physiology 82, no. 5 (1997): 1531–41. http://dx.doi.org/10.1152/jappl.1997.82.5.1531.

Full text

Abstract:

Kaczka, David W., Edward P. Ingenito, Bela Suki, and Kenneth R. Lutchen. Partitioning airway and lung tissue resistances in humans: effects of bronchoconstriction. J. Appl. Physiol. 82(5): 1531–1541, 1997.—The contribution of airway resistance (Raw) and tissue resistance (Rti) to total lung resistance (R l ) during breathing in humans is poorly understood. We have recently developed a method for separating Raw and Rti from measurements of Rland lung elastance (El) alone. In nine healthy, awake subjects, we applied a broad-band optimal ventilator waveform (OVW) with energy between 0.156 and 8.1

APA, Harvard, Vancouver, ISO, and other styles

38

Wang, Bote. "Deep Chnet 1-D CNN using raw audio waveform for recognizing traditional Chinese musical instrument." Applied and Computational Engineering 6, no. 1 (2023): 331–38. http://dx.doi.org/10.54254/2755-2721/6/20220802.

Full text

Abstract:

The classification of music information using various deep learning models is increasingly popular in the field of Music Information Retrieval research. However, as most proposed works focus on western music and musical instruments, little attention is given to traditional Chinese music. This paper proposes a 1-D Convolutional Neural Network (1-D CNN) using only raw audio waveform as input, to undertake the task of traditional Chinese musical instruments classification. This paper starts with a review of the current state of research on the related field, then discuss the proposed model and it

APA, Harvard, Vancouver, ISO, and other styles

39

Manu, Daniel, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, and Lei Yang. "Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices." Journal of Imaging 8, no. 12 (2022): 312. http://dx.doi.org/10.3390/jimaging8120312.

Full text

Abstract:

Seismic full wave inversion (FWI) is a widely used non-linear seismic imaging method used to reconstruct subsurface velocity images, however it is time consuming, has high computational cost and depend heavily on human interaction. Recently, deep learning has accelerated it’s use in several data-driven techniques, however most deep learning techniques suffer from overfitting and stability issues. In this work, we propose an edge computing-based data-driven inversion technique based on supervised deep convolutional neural network to accurately reconstruct the subsurface velocities. Deep learnin

APA, Harvard, Vancouver, ISO, and other styles

40

Njirjak, Marko, Erik Otović, Dario Jozinović, et al. "The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data." Mathematics 10, no. 6 (2022): 965. http://dx.doi.org/10.3390/math10060965.

Full text

Abstract:

Non-stationary signals are often analyzed using raw waveform data or spectrograms of those data; however, the possibility of alternative time–frequency representations being more informative than the original data or spectrograms is yet to be investigated. This paper tested whether alternative time–frequency representations could be more informative for machine learning classification of seismological data. The mentioned hypothesis was evaluated by training three well-established convolutional neural networks using nine time–frequency representations. The results were compared to the base mode

APA, Harvard, Vancouver, ISO, and other styles

41

Yan, Zhengxiang, Guangmin Sun, Xiucheng Liu, et al. "FilterNet: A deep convolutional neural network for measuring plastic deformation from raw Barkhausen noise waveform." Journal of Magnetism and Magnetic Materials 555 (August 2022): 169330. http://dx.doi.org/10.1016/j.jmmm.2022.169330.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Cătălin, Dumitrescu, Copaci Carmen, Iliescu Dan, Hangan Tony, Ionescu Ana-Maria, and Bobe Alexandru. "K - Complex Detection Using the Continuous Wavelet Transform." ARS Medica Tomitana 24, no. 4 (2018): 144–52. http://dx.doi.org/10.2478/arsm-2018-0031.

Full text

Abstract:

Abstract The wide variety of waveform in EEG signals and the high non-stationary nature of many of them is one of the main difficulties to develop automatic detection system for them. In sleep stage classification a relevant transient wave is the K-complex. This paper comprehend the developing of two algorithms in order to achieve an automatic K-complex detection from EEG raw data. These algorithms are based on a time-frequency analysis and two time-frequency techniques, the Short Time Fourier Transform (STFT) and the Continuous Wavelet Transform (CWT), are tested in order to find out which on

APA, Harvard, Vancouver, ISO, and other styles

43

Acciarri, R., B. Baller, V. Basque, et al. "A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber." Journal of Instrumentation 17, no. 01 (2022): P01018. http://dx.doi.org/10.1088/1748-0221/17/01/p01018.

Full text

Abstract:

Abstract The liquid argon time projection chamber (LArTPC) detector technology has an excellent capability to measure properties of low-energy neutrinos produced by the sun and supernovae and to look for exotic physics at very low energies. In order to achieve those physics goals, it is crucial to identify and reconstruct signals in the waveforms recorded on each TPC wire. In this paper, we report on a novel algorithm based on a one-dimensional convolutional neural network (CNN) to look for the region-of-interest (ROI) in raw waveforms. We test this algorithm using data from the ArgoNeuT exper

APA, Harvard, Vancouver, ISO, and other styles

44

Khalil, Ashraf A., Robert R. Stewart, and David C. Henley. "Full‐waveform processing and interpretation of kilohertz cross‐well seismic data." GEOPHYSICS 58, no. 9 (1993): 1248–56. http://dx.doi.org/10.1190/1.1443508.

Full text

Abstract:

High‐frequency, cross‐well seismic data, from the Midale oil field of southeastern Saskatchewan, are analyzed for direct and reflected energy. The goal of the analysis is to produce interpretable sections to assist in enhanced oil recovery activities ([Formula: see text] injection) in this field. Direct arrivals are used for velocity information while reflected arrivals are processed into a reflection image. Raw field data show a complex assortment of wave types that includes direct compressional and shear waves and reflected shear waves. A traveltime inversion technique (layer stripping via r

APA, Harvard, Vancouver, ISO, and other styles

45

Maklakov, Alexander S., Tao Jing, Andrey A. Radionov, Vadim R. Gasiyarov, and Tatyana A. Lisovskaya. "Finding the Best Programmable PWM Pattern for Three-Level Active Front-Ends at 18-Pulse Connection." Machines 9, no. 7 (2021): 127. http://dx.doi.org/10.3390/machines9070127.

Full text

Abstract:

The existing publications on the analysis of power quality indicators in modern electric power supply systems are void of a comprehensive approach to improving these indicators in power systems by implementing multipulse connections. To the authors’ knowledge, this paper is the first to analyze current harmonic distortions in an 18-pulse connection of three-level active front-ends (AFE) featuring a programmed PWM. Raw data were obtained from, and current quality was analyzed for the power circuit of the main electric drive actuating the rolls in the rolling stand of a plate mill. The key featu

APA, Harvard, Vancouver, ISO, and other styles

46

Sujarittam, Krit, and James Choi. "Calibration of a focused passive cavitation detector using bubble shock waves." Journal of the Acoustical Society of America 151, no. 4 (2022): A31. http://dx.doi.org/10.1121/10.0010558.

Full text

Abstract:

In microbubble-mediated therapeutic ultrasound, a focused passive cavitation detector (PCD) is often used to measure the bubbles’ acoustic emissions, providing useful signals for treatment monitoring. However, calibrating a spherically focused PCD is challenging, due to the difficulty of generating a spherical wave that matches the PCD’s surface curvature. Here, a PCD was calibrated using broadband shock waves generated by inertial collapses of single microbubbles. Microbubbles were diluted to a very low concentration, flowed through a wall-less gel channel, and sonicated using single-cycle, 0

APA, Harvard, Vancouver, ISO, and other styles

47

Arditty, P. C., F. Mathieu, and P. Staron. "EVALUATION OF FORMATION PROPERTIES FROM PROCESSING AND INTERPRETATION OF THE EVA TOOL LOGS." APPEA Journal 26, no. 1 (1986): 187. http://dx.doi.org/10.1071/aj85018.

Full text

Abstract:

With the development of full waveform acoustic tools, geophysicists have tried to extract more and more information from acoustic parameters and to relate to the data to formation propertiesThe new tool, EVA (Evaluation of Velocity and Attenuation), is a 4-transmitter/12-receiver long spacing tool permitting recording of the complete waveform and processing of all information contained in the acoustic signal.The key point for optimum results is a robust and automatic processing which allows quantitative estimation of different parameters such as velocity, amplitude, and period of all the three

APA, Harvard, Vancouver, ISO, and other styles

48

Wu, Yi-Chiao, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, and Tomoki Toda. "Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network." IEEE/ACM Transactions on Audio, Speech, and Language Processing 29 (2021): 1134–48. http://dx.doi.org/10.1109/taslp.2021.3061245.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Rehm, Gregory B., Irene Cortés-Puch, Brooks T. Kuhn, et al. "Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data." Critical Care Explorations 3, no. 1 (2021): e0313. http://dx.doi.org/10.1097/cce.0000000000000313.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Hono, Yukiya, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, and Keiichi Tokuda. "PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components." IEEE Access 9 (2021): 137599–612. http://dx.doi.org/10.1109/access.2021.3118033.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!