Relevant bibliographies by topics / Signal filtration

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Signal filtration'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Signal filtration"

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Hamza, Aven R., and Mohammed A. Hussein. "An Innovative Embedded Processor-Based Signal Phase Shifter Algorithm." ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 12, no. 1 (2024): 19–28. http://dx.doi.org/10.14500/aro.11358.

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Digital filtration is widely used today in many application fields, and with the increased use of low-cost embedded processors, it can be applied to vast areas. A drawback of digital filtration algorithms is the introduction of phase angle shifts in the filtered signals, thereby creating undesirable characteristics in many application fields. In this work, low-pass filters of finite impulse response and infinite impulse response types are designed with an innovative buffering scheme to delay a digitally low-passed signal by an angle ranging from 0° to 180° for real-time signals. The applicatio
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Monika, Mishra, Kumar Awadhesh, and V. K. Giri. "Removal of power line interference from ECG signal." i-manager's Journal on Digital Signal Processing 12, no. 1 (2024): 1. http://dx.doi.org/10.26634/jdp.12.1.20755.

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Electrocardiogram (ECG) signals are vital for diagnosing cardiac abnormalities, but they are corrupted by powerline interference noise, which can obscure critical features and compromise diagnostic accuracy. This paper investigates various filtration techniques aimed at effectively removing powerline interference noise from ECG signals. Different approaches, including average filters and moving average filters, are explored and compared to determine their efficacy in noise reduction while preserving important signal characteristics. Experimental evaluations are conducted using synthetic ECG si
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Hvozdzeu, Matsvei, and Maksim Karpovich. "DYNAMIC SIGNALS FILTRATION IN HIGH LEVEL NOISE CONDITION." Mokslas - Lietuvos ateitis 12 (May 13, 2020): 1–3. http://dx.doi.org/10.3846/mla.2020.11487.

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To examine the opportunity of measuring bulk solids consumption the experimental setup was developed. The main problem was the presence of a non-harmonic signal at the output. Almost always there are some difficulties to build measuring circuits using non-harmonic signals. It is necessary to use one of the approximation methods to receive a wanted signal without noise. For this purpose, the local approximation method was chosen. The developed technique confirmed its positive aspects and allowed to solve the questions that were posed before the experimental setup.
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Hiam, Sohani Munteha. "Implementation of Optimized Filter Order to the PSD Analysis of QRS Detected ECG Signal." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 4 (2022): 33–37. http://dx.doi.org/10.35940/ijrte.d7328.1111422.

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Filtration of ECG signal is an important part in the analysis and signal processing of ECG signal. There are different types of digital and analog filters available for the filtration of an ECG signal. And choosing the right filter order for different filters has always been a tough task in biomedical signal processing. This study aims to solve this problem of filter order optimization by cascading digital filters and evaluating their performance based on SNR using ECG-ID Database from PHYSIONET. Besides, this optimized filter order has been applied to both normal and abnormal QRS detected ECG
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Sohani, Munteha Hiam. "Implementation of Optimized Filter Order to the PSD Analysis of QRS Detected ECG Signal." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 4 (2022): 33–37. https://doi.org/10.35940/ijrte.D7328.1111422.

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<strong>Abstract: </strong>Filtration of ECG signal is an important part in the analysis and signal processing of ECG signal. There are different types of digital and analog filters available for the filtration of an ECG signal. And choosing the right filter order for different filters has always been a tough task in biomedical signal processing. This study aims to solve this problem of filter order optimization by cascading digital filters and evaluating their performance based on SNR using ECG-ID Database from PHYSIONET. Besides, this optimized filter order has been applied to both normal an
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NOVIKOV, D. I., P. NASELSKY, H. E. JØRGENSEN, P. R. CHRISTENSEN, I. D. NOVIKOV, and H. U. NØRGAARD-NIELSEN. "POWER FILTRATION OF CMB OBSERVATIONAL DATA." International Journal of Modern Physics D 10, no. 02 (2001): 245–59. http://dx.doi.org/10.1142/s0218271801000950.

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We propose a power filter G p for linear reconstruction of the CMB signal from one-dimensional scans of observational maps. This G p filter preserves the power spectrum of the CMB signal in contrast to the Wiener filter which diminishes the power spectrum of the reconstructed CMB signal. We demonstrate how peak statistics and a cluster analysis can be used to estimate the probability of the presence of a CMB signal in observational records. The efficiency of the G p filter is demonstrated on a toy model of an observational record consisting of a CMB signal and noise in the form of foreground p
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Butyrskiy, E. "Couscous-constant approximation in signal filtration task." National Security and Strategic Planning 2021, no. 1 (2021): 34–43. http://dx.doi.org/10.37468/2307-1400-2021-1-34-43.

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The paper considers the task of assessing the state of a nonlinear dynamic system, based on the couscous-linear approximation of non-linear functions included in the state and observa-tion equation. Examples of the method presented in filtration tasks are given and it is shown that the use of couscous-linear approximation allows at least half the margin of sampling error by the Kalman-Busey filter compared to the first-order approximation. Dynamic systems and processing algorithms in the form of vector-matrix equations have been obtained for multidi-mensional systems.
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Grigoriev, M., and L. Babich. "Impact of filtration elements on bioelectrical signal." IOP Conference Series: Materials Science and Engineering 124 (April 2016): 012060. http://dx.doi.org/10.1088/1757-899x/124/1/012060.

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Kozlov, I. I., and V. P. Ovsyanik. "Algorithm for noise-immune ECG signal filtration." Biomedical Engineering 23, no. 6 (1989): 219–24. http://dx.doi.org/10.1007/bf00572208.

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Yu, Yue, Kathryn Ruddy, Aaron Mansfield, et al. "Detecting and Filtering Immune-Related Adverse Events Signal Based on Text Mining and Observational Health Data Sciences and Informatics Common Data Model: Framework Development Study." JMIR Medical Informatics 8, no. 6 (2020): e17353. http://dx.doi.org/10.2196/17353.

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Background Immune checkpoint inhibitors are associated with unique immune-related adverse events (irAEs). As most of the immune checkpoint inhibitors are new to the market, it is important to conduct studies using real-world data sources to investigate their safety profiles. Objective The aim of the study was to develop a framework for signal detection and filtration of novel irAEs for 6 Food and Drug Administration–approved immune checkpoint inhibitors. Methods In our framework, we first used the Food and Drug Administration’s Adverse Event Reporting System (FAERS) standardized in an Observat
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Dissertations / Theses on the topic "Signal filtration"

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Örneskans, Alexander. "Signal-filtration methodology for estimation of fuel level." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70071.

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Knowing how much fuel there is in a car is important for a predictable driving experience. Such knowledge will dictate how a person drives, when to refuel and how long they can drive. However unprocessed fuel level signals are highly noisy and therefore misleading.To ensure a good and predictable driving experience it is important to estimate the fuel level. The way this thesis has tackled this problem is by comparing and evaluating different filtering methods.The estimation algorithms were designed based on a saddle type tank developed by Volvo Car Corporation. The fuel level sensor consists
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Sills, James A. "Nonstationary signal modeling, filtering, and parameterization." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/16884.

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Vršková, Markéta. "Odhad kvality signálů EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377663.

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This master thesis solves the problem of estimating the quality of ECG signals. The main objective of the work is to implement a self-assessment of the quality assessment method based on the studied methods for estimating the quality of the ECG signal. The theoretical part of the thesis contains mainly the description of the electrical activity of the heart, cardiac anatomy, and physiology, electrocardiography, various types of ECG signal interference and methods describing the estimation of ECG signal quality. The practical part deals with the application of individual methods for estimating
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Віннічук, Михайло Володимирович. "Оптимізація коефіцієнтів передавальної функції цифрового фільтра на основі генетичного алгоритму". Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/31861.

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Структура й обсяг дипломної роботи Магістерська дисертація складається зі вступу, шести розділів, висновку, переліку посилань з 30 найменувань, 2 додатків і містить 23 рисунки, 22 таблиці. Повний обсяг магістерської дисертації складає 77 сторінок, з яких перелік посилань займає 2 сторінки. Актуальність теми. Цифрова фільтрація – це те, без чого сьогодні не обходиться ніхто. Такі речі як мобільні телефони, медичні пристрої, розумні транспортні засоби, радарні станції, телекомунікації можуть робити різноманітні речі, такі як програвання аудіо і відео, обробка фотографій, прийом і передача сигн
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SILVA, Cristiane Cristina Sousa da. "ALGORITMO RECURSIVO BASEADO EM UMA FUNÇÃO NÃO LINEAR DO ERRO." Universidade Federal do Maranhão, 2009. http://tedebc.ufma.br:8080/jspui/handle/tede/1905.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-09-05T13:28:55Z No. of bitstreams: 1 Cristiane Sousa.pdf: 1146877 bytes, checksum: 1ad12b0de7d3ec703fd7018518eaf404 (MD5)<br>Made available in DSpace on 2017-09-05T13:28:55Z (GMT). No. of bitstreams: 1 Cristiane Sousa.pdf: 1146877 bytes, checksum: 1ad12b0de7d3ec703fd7018518eaf404 (MD5) Previous issue date: 2009-02-13<br>CAPES<br>Many of the adaptive filters are based on the Mean Squared Error (Mean Square Error - MSE). The development of these filters guarantees us to recover only second-order information of the signals to be filte
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Panenka, Vojtěch. "Sluchátka s adaptivním potlačením šumu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413245.

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The thesis deals with the analysis of technology used during the design of headphones with integrated active ambient noise cancellation and examines the possibilities of using adaptive filters to simplify development and achieve more effective attenuation.
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Barbounaki, Stavroula. "Modélisation et traitement numérique des impulsions électriques générées par le passage des globules rouges à travers des micropores." Paris 5, 1997. http://www.theses.fr/1997PA05S030.

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Pour évaluer la déformabilité érythrocytaire qui est un facteur important du comportement rhéologique du sang au niveau de la microcirculation, il existe plusieurs techniques. Parmi ces techniques, on distingue celle de mesure du temps de transit des globules rouges a travers des micropores. Cette technique de filtration permet d'étudier la variation de la conductance électrique du filtre à travers lequel passent les globules rouges considérés comme particules non conductrices. Afin de pouvoir mieux comprendre ce phénomène, un modèle théorique approprié à été mis au point pour valider la métho
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Ráček, Tomáš. "Rychlé číslicové filtry pro signály EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219241.

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In the thesis there are described the implementations of various types of filters to remove disturbing signals, which often degrade the ECG signal. In particular, it is a zero isoline fluctuations and power network interference. It is used a principle of the Lynn’s linear filters. The individual filters are designed in a recursive and non-recursive implementation. Then there is described a time-varying linear Lynn's filter for removing drift of zero isoline signal. The thesis also includes filters with minimized calculating time of response, by sampling rate conversion method for both interfer
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Банахевич, Р. Ю. "Розроблення методу діагностування скупчень у порожнинах лінійної частини магістральних газопроводів". Thesis, Івано-Франківський національний технічний університет нафти і газу, 2015. http://elar.nung.edu.ua/handle/123456789/4723.

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Наведено результати аналізу сучасного стану і тенденцій розвитку вітчизняних та закордонних досягнень із досліджуваної проблеми, що дало можливість визначити напрямки подальших досліджень. Виконано аналіз причин утворення скупчень у порожнинах газопроводів, досліджено чинники та причини утворення гідратних утворень у порожнинах труб під час магістрального транспортування газу. Досліджено вплив скупчень на безпечність і режими експлуатації газопроводів. Ідентифіковано місця найбільш ймовірної появи скупчень. Проведено експериментальні дослідження з метою встановлення оптимальних інформативних
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Novotný, Jiří. "Filtrace svalového rušení v EKG signálech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221363.

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This master's thesis deals with the optimization of numerical coefficients of the Wiener filter for muscle noise filtering in ECG signals. The theoretical part deals with ECG signal characteristic and muscle interference. It also contains a summary of the wavelet transform, wavelet Wiener's filtration, methods for calculating of the threshold and thresholding. In the last theoretical part the characteristic optimization techniques, the exhausive search and Nelder-Mead simplex method are mentioned, which were implemented in the practical part of this thesis in MATLAB. The functional verificatio
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Books on the topic "Signal filtration"

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Najim, Mohamed. Modeling, estimation and optimal filtration in signal processing. ISTE ; J. Wiley & Sons, 2008.

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Anderson, Brian D. O. Optimal filtering. Dover Publications, 2004.

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Najim, Mohamed. Modeling, Estimation and Optimal Filtration in Signal Processing. Wiley & Sons, Incorporated, John, 2010.

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Modeling, Estimation and Optimal Filtration in Signal Processing. Wiley & Sons, Incorporated, John, 2010.

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Zaknich, Anthony. Principles of Adaptive Filters and Self-Learning Systems. Springer London, Limited, 2007.

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Anderson, Brian D. O., and John B. Moore. Optimal Filtering. Dover Publications, Incorporated, 2013.

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Anderson, Brian D. O., and John B. Moore. Optimal Filtering. Dover Publications, Incorporated, 2012.

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Bozic, S. M. Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation. Dover Publications, Incorporated, 2019.

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Bozic, S. M. Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation, Second Edition. Dover Publications, Incorporated, 2018.

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Endlich, Karlhans, and Rodger Loutzenhiser. Tubuloglomerular feedback, renal autoregulation, and renal protection. Edited by Neil Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0209.

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Vascular tone of glomerular blood vessels is controlled dynamically in response to a number of stimuli of which tubuloglomerular feedback and blood flow (and glomerular filtration rate) autoregulation are the most prominent. Both tubuloglomerular feedback- and myogenic-mediated pre-glomerular vasoconstriction are important in the response to reduced pressure. The renal myogenic mechanism, which has the potential to adjust steady-state tone in response to the oscillating systolic pressure signal, additionally plays an essential role in protecting the kidney from the damaging effects of hyperten
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Book chapters on the topic "Signal filtration"

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Smirnov, Alexandre. "Spatio-Temporal Filtration." In Digital Signal Processing. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03855-0_3.

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Rosłoniec, Stanisław. "Theoretical Basis of Matched Signal Filtration." In Fundamentals of the Radiolocation and Radionavigation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10631-6_8.

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Dobrovidov, Alexander V. "Stable Nonparametric Signal Filtration in Nonlinear Models." In Springer Proceedings in Mathematics & Statistics. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0569-0_7.

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Mironov, Rumen, and Ivo Draganov. "Multidimensional Graphic Objects Filtration Using HoSVD Tensor Decomposition." In New Approaches for Multidimensional Signal Processing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4676-5_21.

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Sozański, Krzysztof. "Selected Methods of Signal Filtration and Separation and Their Implementation." In Digital Signal Processing in Power Electronics Control Circuits. Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7332-8_3.

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Sozański, Krzysztof. "Selected Methods of Signal Filtration and Separation and Their Implementation." In Digital Signal Processing in Power Electronics Control Circuits. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5267-5_3.

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Zöllner, Frank G., Walter Dastrù, Pietro Irrera, et al. "Analysis Protocol for Dynamic Contrast Enhanced (DCE) MRI of Renal Perfusion and Filtration." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_38.

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AbstractHere we present an analysis protocol for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data of the kidneys. It covers comprehensive steps to facilitate signal to contrast agent concentration mapping via T1 mapping and the calculation of renal perfusion and filtration parametric maps using model-free approaches, model free analysis using deconvolution, the Toft’s model and a Bayesian approach.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the Europ
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Sergeev-Horchynskyi, Alexey, and Valeriy Rogoza. "The Periodic Signal Filtration Using the Robust Digital Filter Order Calculation Optimized by Approximation." In Progress in Systems Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08422-0_38.

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Jerome, Neil Peter, Anna Caroli, and Alexandra Ljimani. "Renal Diffusion-Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intravoxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concepts." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_11.

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AbstractThe specialized function of the kidney is reflected in its unique structure, characterized by juxtaposition of disorganized and ordered elements, including renal glomerula, capillaries, and tubules. The key role of the kidney in blood filtration, and changes in filtration rate and blood flow associated with pathological conditions, make it possible to investigate kidney function using the motion of water molecules in renal tissue. Diffusion-weighted imaging (DWI) is a versatile modality that sensitizes observable signal to water motion, and can inform on the complexity of the tissue mi
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Baranowski, Jerzy, Paweł Piątek, Aleksandra Kawala-Janik, Marta Zagórowska, Waldemar Bauer, and Tomasz Dziwiński. "Non-integer Order Filtration of Electromyographic Signals." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-09900-2_21.

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Conference papers on the topic "Signal filtration"

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Min, Baicheng, Jinfeng Wang, Zhenhui Guan, and Bin Wang. "Research on Classification Technology of Phase-Coding Signal Modulation Under Different IF Bandwidth Filtration." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733189.

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Sun, Jiachang, Xiuhong Li, and Fuxian Zhu. "Prompt Fusion and Aspect-Oriented Filtration for Aspect-Based Multimodal Sentiment Analysis." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887602.

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Chowdhury, Moshfiq-Us-Saleheen, Ahnaf Tahmid, Mahfuz Ahmed Azmain, Mooaj Sadaqat Chowdhury, and Md Hossam-E-Haider. "Exponential Smoothing Technique in Filtration of Distorted Radar Signal." In 2022 International Conference for Advancement in Technology (ICONAT). IEEE, 2022. http://dx.doi.org/10.1109/iconat53423.2022.9725989.

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Dedecius, Kamil, and Petar M. Djuric. "Diffusion filtration with approximate Bayesian computation." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178563.

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Kostek, B., A. Czyzewski, and J. Lasecki. "Spatial filtration of sound for multimedia systems." In 1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451). IEEE, 1999. http://dx.doi.org/10.1109/mmsp.1999.793822.

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Pogribny, W., B. Marciniak, and T. Marciniak. "Digital filtration with use of synthetic DPCM." In Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis. IEEE, 2005. http://dx.doi.org/10.1109/ispa.2005.195450.

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Swamy, Somashekhar, and P. K. Kulkarni. "Dynamic block coding for image filtration in medical applications." In 2016 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2016. http://dx.doi.org/10.1109/iccsp.2016.7754370.

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Jankowski, Mariusz, and Adrian Rominski. "Realization of Programmable Switched-Current Differentiating Matrix for Signal Filtration Purposes." In 2006 International Conference - Modern Problems of Radio Engineering, Telecommunications, and Computer Science. IEEE, 2006. http://dx.doi.org/10.1109/tcset.2006.4404544.

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Baranov, A. V., and S. L. Morugin. "Filtration of output signal in UHF dual class E power amplifiers." In 2010 20th International Crimean Conference "Microwave & Telecommunication Technology" (CriMiCo 2010). IEEE, 2010. http://dx.doi.org/10.1109/crmico.2010.5632725.

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Bibrzycki, Łukasz, Lukasz Bibrzycki, David Alvarez-Castillo, et al. "Machine learning aided noise filtration and signal classification for CREDO experiment." In 37th International Cosmic Ray Conference. Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.395.0227.

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Reports on the topic "Signal filtration"

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Thanyasrisung, Panida, Aemvika Vittayaprasit, Voravee Hoven, Sugai, Motoyuki, and Oranart Matangkasombut. Rapid detection of mutans streptococci by substrate specific binding of automutanolysin : Final report. Faculty of Dentistry, Chulalongkorn University, 2016. https://doi.org/10.58837/chula.res.2016.19.

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Chair-side rapid detection of mutans streptococci is an important aid to clinical dental caries risk assessment. Rapid Streptococcus mutans detection tools are available on the market but there are a small number. Automutanolysin (Aml) is a peptidoglycan hydrolase whose cell wall-binding domain (CWBD) has substrate-specificity towards mutans streptococci. This study aims to develop a rapid detection assay using CWBD conjugated with horseradish peroxidase (HRP). However, the recombinant protein was as insoluble form. Therefore, magnetic nanoparticles were used as an alternative reporter to conj
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Poirier, M. R. Recommendation for Using Smaller (0.1 micro sign) Pore-Size Media for Filtration in Salt Waste Processing Project. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/810554.

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Whelan, Kevin, and Wendy Wright. Protocol implementation plan for monitoring mangrove soil surface elevation tables in South Florida / Caribbean Network parks. National Park Service, 2016. https://doi.org/10.36967/2230638.

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The mangrove forest ecosystem is a critical coastal resource in South Florida’s Biscayne National Park (BISC); Salt River Bay National Historical Site and Ecological Preserve (SARI) in St. Croix, U.S. Virgin Islands; and the Virgin Islands National Park (VIIS) in St John, U.S. Virgin Islands. Mangrove wetlands provide flood control, storm protection, shore stabilization, water filtration (capturing soil runoff), carbon sequestration, and habitat for fish and wildlife communities. The economic value of the services derived from mangroves has been estimated as high as $200,000–$900,000 ha-1 (Uni
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