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Relevant bibliographies by topics / Signal-to-noise-ratio (SNR)

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Dissertations / Theses
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Academic literature on the topic 'Signal-to-noise-ratio (SNR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Signal-to-noise-ratio (SNR)"

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Bosworth, B. T., W. R. Bernecky, J. D. Nickila, B. Adal, and G. C. Carter. "Estimating Signal-to-Noise Ratio (SNR)." IEEE Journal of Oceanic Engineering 33, no. 4 (2008): 414–18. http://dx.doi.org/10.1109/joe.2008.2001780.

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Kolar, Petar, Lovro Blažok, and Dario Bojanjac. "NMR spectroscopy threshold signal-to-noise ratio." tm - Technisches Messen 88, no. 9 (2021): 571–80. http://dx.doi.org/10.1515/teme-2021-0008.

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Abstract Ever since noise was spotted and proven to cause problems for the transmission and detection of information through a communication channel, a standard procedure in the process of characterizing a detection system of the communication channel is to determine the level of the lowest detectable signal. In signal processing, this is usually done by determining the so-called threshold signal-to-noise ratio (SNR). This determination is especially important for the communication channels and systems that constantly operate with low-level signals. A good example of such a system is definitel

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Baddour, Natalie, and Zuwen Sun. "Photoacoustics Waveform Design for Optimal Signal to Noise Ratio." Symmetry 14, no. 11 (2022): 2233. http://dx.doi.org/10.3390/sym14112233.

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Time-frequency analysis in waveform engineering can be applied to many detection and imaging systems, such as radar, sonar, and ultrasound to improve their Signal-to-Noise Ratio (SNR). Recently, photoacoustic imaging systems have attracted researchers’ attention. However, the SNR optimization problem for photoacoustic systems has not been fully addressed. In this paper, the one-dimensional SNR optimization of the photoacoustic response to an input waveform with finite duration and energy was considered. This paper applied an eigenfunction optimization approach to find the waveform for optimal

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S., L. M. Hassan, Sulaiman N., S. Shariffudin S., and N. T. Yaakub T. "Signal-to-noise Ratio Study on Pipelined Fast Fourier Transform Processor." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 230–35. https://doi.org/10.11591/eei.v7i2.1167.

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Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-tonoise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digital signal applications such as wireless sensor network, digital video broadcasting and many more. These applications require accuracy in their data communication part, that is why SNR is an important analysis. SNR is a measure of signal strength relative to noise. The measurement is usually in decible

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L. M. Hassan, S., N. Sulaiman, S. S. Shariffudin, and T. N. T. Yaakub. "Signal-to-noise Ratio Study on Pipelined Fast Fourier Transform Processor." Bulletin of Electrical Engineering and Informatics 7, no. 2 (2018): 230–35. http://dx.doi.org/10.11591/eei.v7i2.1167.

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Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-to-noise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digital signal applications such as wireless sensor network, digital video broadcasting and many more. These applications require accuracy in their data communication part, that is why SNR is an important analysis. SNR is a measure of signal strength relative to noise. The measurement is usually in decibl

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Czanner, Gabriela, Sridevi V. Sarma, Demba Ba, et al. "Measuring the signal-to-noise ratio of a neuron." Proceedings of the National Academy of Sciences 112, no. 23 (2015): 7141–46. http://dx.doi.org/10.1073/pnas.1505545112.

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The signal-to-noise ratio (SNR), a commonly used measure of fidelity in physical systems, is defined as the ratio of the squared amplitude or variance of a signal relative to the variance of the noise. This definition is not appropriate for neural systems in which spiking activity is more accurately represented as point processes. We show that the SNR estimates a ratio of expected prediction errors and extend the standard definition to one appropriate for single neurons by representing neural spiking activity using point process generalized linear models (PP-GLM). We estimate the prediction er

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FENG, TIANQUAN. "SIGNAL-TO-NOISE RATIO GAIN VIA CORRELATED NOISE IN AN ENSEMBLE OF NOISY NEURONS." Journal of Biological Systems 28, no. 01 (2020): 111–26. http://dx.doi.org/10.1142/s0218339020500059.

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The collective response of an ensemble of leaky integrate-and-fire neurons induced by local correlated noise is investigated theoretically. Based on the linear response theory, we derive the analytic expression of signal-to-noise ratio (SNR). Numerical results show that the amplitude of internal noise can be increased up to an optimal value where the output SNR reaches a maximum value. Interestingly, we find that the correlated noise between the nearest neurons could lead to the obvious SNR gain. We also show that the SNR can reach unity under condition that the correlated noise between the ne

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Xie, Xiaojuan, Shengliang Peng, and Xi Yang. "Deep Learning-Based Signal-To-Noise Ratio Estimation Using Constellation Diagrams." Mobile Information Systems 2020 (November 6, 2020): 1–9. http://dx.doi.org/10.1155/2020/8840340.

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Signal-to-noise ratio (SNR) estimation is a fundamental task of spectrum management and data transmission. Existing methods for SNR estimation usually suffer from significant estimation errors when SNR is low. This paper proposes a deep learning (DL) based SNR estimation algorithm using constellation diagrams. Since the constellation diagrams exhibit different patterns at different SNRs, the proposed algorithm achieves SNR estimation via constellation diagram recognition, which can be easily handled based on DL. Three DL networks, AlexNet, InceptionV1, and VGG16, are utilized for DL based SNR

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Des Noes, Mathieu. "Distribution of Signal to Noise Ratio and Application to Leakage Detection." IACR Transactions on Cryptographic Hardware and Embedded Systems 2024, no. 2 (2024): 384–402. http://dx.doi.org/10.46586/tches.v2024.i2.384-402.

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In the context of side-channel attacks, the Signal to Noise Ratio (SNR) is a widely used metric for characterizing the information leaked by a device when handling sensitive variables. In this paper, we derive the probability density function (p.d.f.) of the signal to noise ratio (SNR) for the byte value and Hamming Weight (HW) models, when the number of traces per class is large and the target SNR is small. These findings are subsequently employed to establish an SNR threshold, guaranteeing minimal occurrences of false positives. Then, these results are used to derive the theoretical number o

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Khairunnisa, Khairunnisa, Nurkamilia Nurkamilia, and Zuraidah Zuraidah. "Analisis Signal-To-Noise Ratio Pada Sinyal Audio Dengan Teknik Konvolusi." Jurnal ELTIKOM 2, no. 2 (2018): 78–86. http://dx.doi.org/10.31961/eltikom.v2i2.84.

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Di bangku kuliah, derau dan kaitannya dengan kualitas sinyal biasanya dibahas pada mata kuliah pengolahan sinyal. Salah satu metode yang digunakan adalah metode konvolusi. Algoritma yang digunakan cukup kompleks dan tidak mudah cepat dipahami oleh mahasiswa dan ini merupakan tantangan bagi dosen pengajar. Penulis membuat suatu aplikasi yang dapat menampilkan hasil analisis reduksi sinyal audio dengan teknik konvolusi sehingga dapat memberikan pemahaman yang lebih baik kepada mahasiswa sekaligus membuktikan teori yang sudah ada. Langkah-langkah penelitian yang dilakukan adalah menentukan sinyal

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Dissertations / Theses on the topic "Signal-to-noise-ratio (SNR)"

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Crotty, Maureen. "Signal to Noise Ratio Effects on Aperture Synthesis for Digital Holographic Ladar." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1355245759.

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Watkins, Gregory Douglas. "Speech Intelligibility Prediction for Cochlear Implant Recipients: An investigation of the Output Signal to Noise Ratio." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/22909.

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Cochlear implants (CI) can achieve excellent hearing outcomes for people with severe or profound hearing loss. However, outcomes vary significantly, and hearing in noise is challenging. Evaluation of new sound processing ideas with recipient testing is a lengthy process. A metric which reliably predicted CI speech intelligibility would allow more sound processing ideas and parameter sets to be evaluated. Prediction for normal hearing people has been extensively investigated but CIs have received little attention. In this thesis, it was hypothesised that an extended Output Signal to Noise Ratio

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Sciré, Scappuzzo Francesca. "Phase multipath estimation for global positioning system (GPS) using signal-to-noise-ratio (SNR) data." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/45487.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Earth, Atmospheric, and Planetary Sciences, 1997.<br>Includes bibliographical references (p. 83-87).<br>by Francesca Scrié Scappuzzo.<br>M.S.

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Bhattad, Kapil. "Joint source channel coding for non-ergodic channels: the distortion signal-to-noise ratio (SNR) exponent perspective." Texas A&M University, 2008. http://hdl.handle.net/1969.1/85928.

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We study the problem of communicating a discrete time analog source over a channel such that the resulting distortion is minimized. For ergodic channels, Shannon showed that separate source and channel coding is optimal. In this work we study this problem for non-ergodic channels. Although not much can be said about the general problem of transmitting any analog sources over any non-ergodic channels with any distortion metric, for many practical problems like video broadcast and voice transmission, we can gain insights by studying the transmission of a Gaussian source over a wireless channel w

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Gallupe, Gary. "FM, PM and NPR Calculations." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608853.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>System performance can be ascertained via a number of parameters; one of which is Signal-to-Noise ratio (SNR). SNR is the ratio of the value of the signal to the value of the noise. It is generally expressed in decibels and usually a function of the system bandwidth. Another measure of performance is the Noise-Power ratio (NPR). NPR is the ratio of the noise level within a specific measurement channel when noise is applied to all channels, to the level that i

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Coy, Kelly (Kelly Bishop). "A Comparison of Measures of Signal-To-Noise Ratio, Jitter, Shimmer, and Speaking Fundamental Frequency in Smoking and Nonsmoking Females." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc500903/.

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Fifteen nonsmoking and fifteen smoking females 19 to 36 years of age were evaluated on measures of signal-to-noise ratio (SNR), jitter, shimmer, and speaking fundamental frequency (F0). The results indicated that: 1) there is a significant difference between female smokers and nonsmokers on measures of SNR, mean, and maximum F0 and, 2) there is no significant difference between female smokers and nonsmokers on measures of jitter, shimmer and minimum F0 . The SNR was found to be a powerful tool which is capable of distinguishing subtle vocal characteristics between the subject groups. It would

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Paluri, Suraj, and Sandeep Patluri. "A Study of Impulse Response System Identification." Thesis, Karlstad University, Faculty of Technology and Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-1069.

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<p>In system identification, different methods are often classified as parametric or non-parametric methods. For parametric methods, a parametric model of a system is considered and the model parameters are estimated. For non-parametric methods, no parametric model is used and the result of the identification is given as a curve or a function.</p><p>One of the non-parametric methods is the impulse response analysis. This approach is dynamic simulation. This thesis introduces a new paradigm for dynamic simulation, called impulse-based simulation. This approach is based on choosing a Dirac funct

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Stenström, Mats. "Computerised Microtomography : Non-invasive imaging and analysis of biological samples, with special reference to monitoring development of osteoporosis in small animals." Doctoral thesis, Linköpings universitet, Medicinsk radiofysik, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5030.

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The use of Computerised microtomography (CμT) in biomedical research is well established, with most applications developed at synchrotron facilities. The possibility to non-invasively monitor morphological changes in biological samples, makes it an attractive technique in biomedicine. However, high absorbed doses and long examination times are a disadvantage that limits the possibilities of performing longitudinal examinations. The aim of this work was to optimise CmT using conventional X-ray tubes for applications in non-destructive material testing and for skeleton research in small animals

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Kritzinger, Mieke. "Cortical Auditory Evoked Potential (CAEP) and the chirp Auditory Steady State Response (ASSR) in predicting behavioural hearing thresholds in adults with sensorineural hearing loss." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/73231.

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Abstract Purpose: To compare the frequency specific Cortical Auditory Evoked Potential (CAEP) and the chirp-evoked 40 Hz Auditory Steady State Response (ASSR) with equivalent residual noise levels for behavioural threshold prediction in adults with normal hearing and with SNHL. Method: The study tested 23 adults with normal hearing and 20 adults with SNHL. The participants were aged between 18–65 years. A repeated measures within- participant descriptive design was used to collect the quantitative data. The participants underwent behavioural pure tone, CAEP and ASSR testing on the sam

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Asif, Rameez. "Design and Implementation of System Components for Radio Frequency Based Asset Tracking Devices to Enhance Location Based Services. Study of angle of arrival techniques, effects of mutual coupling, design of an angle of arrival algorithm, design of a novel miniature reconfigurable antenna optimised for wireless communication systems." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/17143.

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The angle of arrival estimation of multiple sources plays a vital role in the field of array signal processing as MIMO systems can be employed at both the transmitter and the receiver end and the system capacity, reliability and throughput can be significantly increased by using array signal processing. Almost all applications require accurate direction of arrival (DOA) estimation to localize the sources of the signals. Another important parameter of localization systems is the array geometry and sensor design which can be application specific and is used to estimate the DOA. In this wo

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Book chapters on the topic "Signal-to-noise-ratio (SNR)"

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Jensen, Lindsay G., Loren K. Mell, Christin A. Knowlton, et al. "Signal-to-Noise Ratio (SNR)." In Encyclopedia of Radiation Oncology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_424.

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Thomas, J. A., K. Chakrabarti, R. V. Kaczmarek, and A. Romanyukna. "Automated Method for Measuring Contrast-to-Noise- Ratio (CNR) and Signal-to-Noise-Ratio (SNR) on a Full Field Digital Mammography System (FFDMS)." In Digital Mammography. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59327-7_29.

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Li, Wei, Xin’an Yuan, Jianming Zhao, Xiaokang Yin, and Xiao Li. "Identification of Tiny Surface Cracks in a Rugged Weld by Signal Gradient Algorithm Using the ACFM Technique." In Alternating Current Field Measurement Technique for Detection and Measurement of Cracks in Structures. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7255-1_2.

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AbstractIt is still a big challenge to identify tiny surface cracks in a rugged weld due to the lift-off variations using the nondestructive testing (NDT) method. In this paper, the signal gradient algorithm is presented to identify the tiny surface crack in the rugged weld using the alternating current field measurement (ACFM) technique. The ACFM simulation model and testing system was set up to obtain the insensitive signal to the lift-off variations. The signal gradient algorithm was presented to process the insensitive signal for the identification of the tiny surface crack in the rugged w

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"Signal-to-Noise Ratio (SNR)." In Encyclopedia of Ocean Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_300721.

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Collins, Christopher M. "Fundamentals of Signal-to-Noise Ratio (SNR)." In Electromagnetics in Magnetic Resonance Imaging Physical Principles, Related Applications, and Ongoing Developments. IOP Publishing, 2016. http://dx.doi.org/10.1088/978-1-6817-4083-6ch2.

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"10 Imaging Basics: Signal-to-Noise Ratio (SNR)." In The Physics of Clinical MR Taught Through Images, edited by Val M. Runge, Wolfgang R. Nitz, and Stuart H. Schmeets. Georg Thieme Verlag, 2009. http://dx.doi.org/10.1055/b-0034-63908.

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Manimekalai, K., and A. Kavitha. "Filtering Techniques for Removing Noise From ECG Signals." In Advances in Computing Communications and Informatics. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815079005123050010.

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Electrocardiogram (ECG) records cardiac electrical signal to check for various heart problems. However, it can be impaired by noise. Therefore, ECG signal denoising is a significant pre-processing step that reduces noise and emphasizes the characteristic waves in the ECG data. The frequency range of a simple ECG is usually between 0.5 Hz and 100 Hz. When processing the ECG signal, artifact elimination is the most important resource since artifacts in ECG signal impede the diagnosis of disorders. This work uses MATLAB to reduce noise by applying low pass, high pass, and derivative pass filters.

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Ding, Xue, Gongbin Qian, and Chunlong He. "Performance Analysis of Aerial Base Station Cellular Network." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220512.

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In this paper, we model the cellular network consisting of aerial base stations (ABSs) which follow homogeneous Poisson Point Process (PPP) and an independent collection of random users is considered. We assume that each user communicates with the closest ABS. In particular, we deal the interference signals with Laplace transform. As a result, we can obtain a tractable expression of the coverage probability. We have found that there is a maximum coverage probability which can be reached by an optimal ABS density and with low signal-to-noise ratio (SNR), the optimal ABS density gets larger when

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Martinez R., Alejandro D., and On behalf of DarkSide Collaboration. "Real Time Digital Filter for a Front-End Electronics in Dark Matter and Neutrino Measurements." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200791.

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This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.

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Gautam, Alka, Hoon-Jae Lee, and Wan-Young Chung. "ECG Signal De-Noising with Asynchronous Averaging and Filtering Algorithm." In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch014.

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In this study, a new algorithm is proposed—Asynchronous Averaging and Filtering (AAF) for ECG signal de-noising. R-peaks are detected with another proposed algorithm—Minimum Slot and Maximum Point selecting method (MSMP). AAF algorithm reduces random noise (major component of EMG noise) from ECG signal and provides comparatively good results for baseline wander noise cancellation. Signal to noise ratio (SNR) improves in filtered ECG signal, while signal shape remains undistorted. The authors conclude that R-peak detection with MSMP method gives comparable results from existing algorithm like P

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Conference papers on the topic "Signal-to-noise-ratio (SNR)"

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Heyrich, Matthew, Alexander Lind, and Scott Diddams. "Improving the Signal-to-Noise Ratio in Dual-Comb Electro-Optic Sampling." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jtu5a.34.

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We experimentally investigate approaches to enhance signal-to-noise ratio scaling in dual-comb electro-optic sampling. We demonstrate that chirping the sampling pulse directly before photodetection leads to improved linearity and higher SNR at higher optical powers.

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Misra, Indranil, S. Manthira Moorthi, and Debajyoti Dhar. "Signal-to-Noise Ratio (SNR) Analysis across Seasons among Diverse Feature Targets using Multitemporal Resourcesat-2A LISS-3 Imagery." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984243.

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Wilson, Benjamin, Santasri Bose-Pillai, Jack McCrae, Steven Zuraski, and Steven Fiorino. "Improvements to the Stacked Beacon TARDIS Analysis." In Propagation Through and Characterization of Atmospheric and Oceanic Phenomena. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/pcaop.2024.pf4e.3.

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Improvements to the Turbulence and Aerosol Research Dynamic Interrogation System (TARDIS) analysis are presented. This includes accounting for square sub-apertures and advanced noise reduction. Low signal-to-noise ratio (SNR) still presents challenges for accurate turbulence profiling.

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Herrera, J., J. Núñez-Kasaneva, N. Pereda, A. Alvarado, and G. Saavedra. "A Hybrid Convolutional Neural Network for Classification and SNR Estimation of QAM Modulation Formats." In Latin America Optics and Photonics Conference. Optica Publishing Group, 2024. https://doi.org/10.1364/laop.2024.tu5c.3.

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A hybrid convolutional neural network to identify modulation format and estimate signal-to-noise ratio (SNR) using received constellations is shown. Accuracy of 91.38% and average error of 0.83 [dB] are shown estimating modulation format and SNR.

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Jia, Wuao, Rosa M. Martínez-Ojeda, Alfredo Dubra, and Jennifer J. Hunter. "Comparison of conventional and confocal adaptive optics two-photon excitation fluorescence ophthalmoscope." In Novel Techniques in Microscopy. Optica Publishing Group, 2025. https://doi.org/10.1364/ntm.2025.ntu4c.3.

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A confocal pinhole has been integrated into a two-photon excitation fluorescence ophthalmoscope. The optimal pinhole size has been investigated to balance resolution, signal-to-noise ratio (SNR), and sharpness, enabling more precise imaging.

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Howe, Dennis G. "Signal-To-Noise Ratio (SNR) For Reliable Data Recording." In 30th Annual Technical Symposium, edited by Robert P. Freese, Albert A. Jamberdino, and Maarten R. de Haan. SPIE, 1987. http://dx.doi.org/10.1117/12.936846.

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Shapiro, J. H., and N. C. Wong. "Optical amplifiers, phase-shift keying, and signal-to-noise ratio." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.wx2.

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Recently, there has been some controversy concerning the role of signal-to-noise ratio (SNR) calculations in conjunction with optical amplifiers and phase-shift keying. Analysis has shown that the large-signal SNR at the output of an optical parametric amplifier (OPA) or optical parametric oscillator (OPO) can exceed the shot-noise limit when an injected signal beam is used to elicit small-signal gain saturation. Although no small-signal SNR gain is obtained in this way, the large-signal SNR improvement does translate into a communication performance improvement if binary phase-shift keying is

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Kulshreshtha, Garima, and Usha Chauhan. "Signal-to-Interference-Noise Ratio (SINR) and Signal-to-Noise Ratio (SNR) Improvement in the Massive Multiple-Input Multiple-Output (MIMO) Systems." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362876.

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Johnson, Hans. "Improving Signal Signal-to -Noise Ratio (SNR) for Quantum Readout Signals Using Adaptive Hardware Filters on FPGA." In Improving Signal Signal-to -Noise Ratio (SNR) for Quantum Readout Signals Using Adaptive Hardware Filters on FPGA. US DOE, 2023. http://dx.doi.org/10.2172/2228296.

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Johnson, Hans, Silvia Zorzetti, and Jafar Saniie. "Improving Signal-to-Noise Ratio (SNR) for Readout Signals Using Adaptive Filters on Reconfigurable Controls Hardware." In Improving Signal-to-Noise Ratio (SNR) for Readout Signals Using Adaptive Filters on Reconfigurable Controls Hardware. US DOE, 2023. http://dx.doi.org/10.2172/2205002.

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Reports on the topic "Signal-to-noise-ratio (SNR)"

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Quinn, Meghan. Geotechnical effects on fiber optic distributed acoustic sensing performance. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41325.

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Distributed Acoustic Sensing (DAS) is a fiber optic sensing system that is used for vibration monitoring. At a minimum, DAS is composed of a fiber optic cable and an optic analyzer called an interrogator. The oil and gas industry has used DAS for over a decade to monitor infrastructure such as pipelines for leaks, and in recent years changes in DAS performance over time have been observed for DAS arrays that are buried in the ground. This dissertation investigates the effect that soil type, soil temperature, soil moisture, time in-situ, and vehicle loading have on DAS performance for fiber opt

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DCE-MRI V.2, Consensus QIBA Profile. Chair Hendrik Laue and James O'Connor. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2023. https://doi.org/10.1148/qiba/20231206.

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The goal of the DCE-MRI quantification QIBA Profile version 2.0 is to provide an update from the Dynamic Contrast Enhanced MRI (DCE-MRI) Quantification profile (version 1.0, dated July 1, 2012) in order to include the use of 3 Tesla (T) MRI and the use of parallel imaging with receiver coil arrays. While many pharmacokinetic models have been described, this QIBA Profile (DCE-MRI Quantification) specifically addresses the physiological parameter Ktrans derived from the Tofts or generalized kinetic model (GKM) (1), which is correlated with the vessel (surface/area product and permeability) and h

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