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Статті в журналах з теми "Signal filtration"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Sharma, Ambuj, Sandeep Kumar, and Amit Tyagi. "Noise filtering techniques for Lamb waves in structural health monitoring." Multidiscipline Modeling in Materials and Structures 14, no. 4 (2018): 676–94. http://dx.doi.org/10.1108/mmms-08-2017-0089.

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Purpose The real challenges in online crack detection testing based on guided waves are random noise as well as narrow-band coherent noise; and to achieve efficient structural health assessment methodology, magnificent extraction of noise and analysis of the signals are essential. The purpose of this paper is to provide optimal noise filtering technique for Lamb waves in the diagnosis of structural singularities. Design/methodology/approach Filtration of time-frequency information of guided elastic waves through the noisy signal is investigated in the present analysis using matched filtering t

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12

Borisov, B. D. "Optimal filtration of a signal against flicker noises." Optoelectronics, Instrumentation and Data Processing 44, no. 4 (2008): 317–24. http://dx.doi.org/10.3103/s8756699008040055.

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13

Yaseen, A. S., O. N. Pavlova, and A. N. Pavlov. "Noisy signal filtration using complex wavelet basis sets." Technical Physics Letters 43, no. 7 (2017): 641–44. http://dx.doi.org/10.1134/s1063785017070288.

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14

Shanin, Yu I. "Using an Adaptive Filtration to Improve Adaptive Optical Systems Performance. Analytical Review." Mechanical Engineering and Computer Science, no. 2 (March 8, 2019): 34–60. http://dx.doi.org/10.24108/0219.0001461.

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For adaptive optical systems (AOS) installed in the optical path of aircraft-based laser systems, the presence of changing input light signals is typical. A wave-front sensor processes these signals. The quality of the radiation wave-front correction depends on how well the rapidly changing input signal is received and processed. When dealing with such signals, an adaptive filtration (AF) is used, which allows automatic adaptation to the changing input signal. The adaptive filtration is used in control algorithms for adaptive optical systems.The paper gives a brief theoretical AF background as

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15

Atamanskyi, D. V., V. P. Riabukha, V. I. Vasylyshyn, A. V. Semeniaka, E. A. Katyushyn, and R. L. Stovba. "THE METHODS OF PROTECTION FROM THE PULSE DRFM JAMMING." Radio Electronics, Computer Science, Control, no. 3 (November 3, 2024): 6. https://doi.org/10.15588/1607-3274-2024-3-1.

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Context. The repeater reusable pulse jamming like DRFM (Digital Radio Frequency Memory) significantly complex the radar situation for radar with LFM probing signals. Besides of the marks from the existing targets the other marks are arising on the radar PPI-screen that simulate analogous to them false targets. The known methods of struggle with the repeater reusable pulse jamming like DRFM are inefficient that caused by specificity of the jamming. The synthesis of the methods of the struggle with such jamming is the actual problem Objective. The estimation of possibilities of the known methods

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16

Senkevich, Yury. "The use of the empirical mode decomposition method to clean and restavration acoustic emission signal." E3S Web of Conferences 62 (2018): 03008. http://dx.doi.org/10.1051/e3sconf/20186203008.

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The results of the study of the possibility of using the empirical mode decomposition method for cleaning geoacoustic emission signals from various types of noise are presented. It is shown that the application of the method allows to increase the ratio of the signal noise 3-6 dB depending on the ratio of signal dispersion and noise in the input signal. The examples demonstrate the ability to remove trends and harmonic interference, as well as the ability to highlight a useful signal when masking its powerful noise. A comparative evaluation of the method in relation to the low-frequency filtra

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17

Al-Hetari, Husam Y., Noman Q. Al-Naggar, Abdu Alameri, Mahmoud A. Al-Rumaima, Muhammad Nomani Kabir, and Zaied Alhaj. "A Practical Study to Enhance Pressure Signal Quality in Mechanical Ventilators Using Moving Average Filtration: A Comparative Study." University of Science and Technology Journal for Engineering and Technology 2, no. 2 (2024): 57–73. https://doi.org/10.59222/ustjet.2.2.4.

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Undesirable noise and interference present a substantial obstacle in the process of obtaining biomedical signals for analysis and diagnosis. It is necessary to reduce the noise and enhance signal quality for many designs of medical devices such as Mechanical Ventilators (MV), patient monitors and overall biosignal processing. To contribute for addressing this problem, and for medical applications such as MV which are used for critical diseases such as pneumonia, COVID 19 etc. This paper, conducted comparative study to evaluate the performance of a 3-point Moving Average Filter (MAF) and a 5-po

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18

Ponomareva, Inna D., Alexey V. Karpenko, and Gennadiy V. Tsepkov. "Adaptive Sequency Basis in Problems of Random Signal Filtration." Journal of Automation and Information Sciences 33, no. 4 (2001): 5. http://dx.doi.org/10.1615/jautomatinfscien.v33.i4.80.

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19

Tulyakova, Nataliya, Tatyana Neycheva, Oleksandr Trofymchuk, and Oleksandr Stryzhak. "Locally-adaptive Myriad Filtration of One-dimensional Complex Signal." International Journal Bioautomation 22, no. 3 (2018): 275–96. http://dx.doi.org/10.7546/ijba.2018.22.3.275-296.

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20

Kharchenko, O. I., and V. M. Kartashov. "Digital Signal Extraction by Means of Nonlinear Stochastic Filtration." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 73 (June 30, 2018): 50–54. http://dx.doi.org/10.20535/radap.2018.73.50-54.

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21

Glinchenko, A. S. "Digital Filtration for Spectral Measurements of Signal Parameters with Low Signal-To-Noise Ratios." Measurement Techniques 60, no. 4 (2017): 376–81. http://dx.doi.org/10.1007/s11018-017-1205-4.

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22

Mineev, V. N., A. A. Kuzmina, and T. M. Lalaeva. "Apelin/APJ signal system and glomerular filtration rate in various variants of bronchial asthma." Nephrology (Saint-Petersburg) 24, no. 4 (2020): 55–60. http://dx.doi.org/10.36485/1561-6274-2020-24-4-55-60.

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INTRODUCTION. We have previously postulated the similarity of molecular pathogenetic mechanisms in bronchial asthma (BA) and chronic kidney disease (CKD). Understanding these mechanisms in such a comorbidity pathology is of interest to the clinicians. In recent years, the attention of BA pathogenesis researchers has attracted low-investigated adipokine – apelin. On the other hand, apelin is considered as a renoprotective adipokine that can prevent the progression of CKD. THE AIM of the study is to identify the relationship between apelin/APJ signaling system and glomerular filtration rate in d

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23

Smolarik, Lukas, Dusan Mudroncik, and Lubos Ondriga. "ECG Signal Processing." Advanced Materials Research 749 (August 2013): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.749.394.

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Electrocardiography (ECG) is a diagnostic method that allows sensing and record the electric activity of heart [. The measurement of electrical activity is used as a standard twelve-point system. At each of these leads to measure the useful signal and interference was measured. The intensity of interference depends on the artefacts (electrical lines, brum, motion artefacts, muscle, interference from the environment, etc.). For correct evaluation of measured signal there is a need to processing the measured signal to suitable form. At present, the use of electrocardiograms with sensors with con

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24

Prokhorov, I. V., and A. A. Sushchenko. "Imaging Based on Signal from Side-Scan Sonar." Applied Mechanics and Materials 756 (April 2015): 678–82. http://dx.doi.org/10.4028/www.scientific.net/amm.756.678.

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In this paper authors researched problems about construction of sonar images which based on signal from side-scan sonar. Authors use explicit formula for signal processing. It includes influence of volume scattering in the medium. Moreover, authors use an additional filter for signal. It is logarithm-filtration.

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25

Chrzan, Marcin, Tomasz Ciszewski, and Waldemar Nowakowski. "Selected applications of satellite technologies in rail transport." Archives of Transport 71, no. 3 (2024): 91–105. http://dx.doi.org/10.61089/aot2024.z1bfx011.

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Global Navigation Satellite Systems (GNSS) are increasingly being used in various modes of transport, including rail transport. When this technology is applied to railway traffic control, it is essential to ensure a high level of safety and reliability. The approval of a railway traffic control system requires a safety analysis, which includes hazard analysis and risk analysis. This also includes GNSS-based solutions in terms of their compliance with safety integrity requirements, i.e. THR (Tolerable Hazard Rate) and SIL (Safety Integrity Level) parameters, as defined in normative documents. I

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26

KALYASHINA, A. V. "ANALYSIS OF EFFICIENCY OF SENSOR SIGNAL RECOGNITION AND FILTRATION FOR MOBILE ROBOT MOTION CONTROL ON RUSSIAN PLATFORM TRACKDUINO." Herald of Technological University 27, no. 12 (2024): 147–52. https://doi.org/10.55421/1998-7072_2024_27_12_147.

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This study is devoted to the comparative evaluation of the digital filters for filtering signals received from sensors. Sensory information about the location of mobile robots, environmental objects, including possible obstacles, its overall 3D picture is the basis for constructing a model of the surrounding space, choosing the direction and trajectory of movement in accordance with the tasks performed, which is why it is extremely important to receive a high-quality signal from a sensor device. From an engineering point of view, it makes sense to classify sensor devices by the type of their o

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27

Karklinsh, V., and K. Kruminsh. "Correlation filtration of statistically transformed signals." Automatic Control and Computer Sciences 41, no. 5 (2007): 289–93. http://dx.doi.org/10.3103/s0146411607050082.

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28

MACHROWSKA, Anna, Robert KARPIŃSKI, Przemysław KRAKOWSKI, and Józef JONAK. "DIAGNOSTIC FACTORS FOR OPENED AND CLOSED KINEMATIC CHAIN OF VIBROARTHROGRAPHY SIGNALS." Applied Computer Science 15, no. 3 (2019): 34–44. http://dx.doi.org/10.35784/acs-2019-19.

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The paper presents results of preliminary research of vibroarthrography signals recorded from one healthy volunteer. The tests were carried out for the open and closed kinematic chain in the range of motion 90° - 0° - 90°. Analysis included initial signal filtration using the EMD algorithm. The aim was to investigate the occurrence of differences in the values of selected energy and statistical parameters for the cases studied.

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29

Katila, T., P. Piirila, K. Kallio, E. Paajanen, T. Rosqvist, and A. R. Sovijarvi. "Original waveform of lung sound crackles: a case study of the effect of high-pass filtration." Journal of Applied Physiology 71, no. 6 (1991): 2173–77. http://dx.doi.org/10.1152/jappl.1991.71.6.2173.

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In lung sound research, low-frequency noise usually disturbs the sound signal being recorded. Some researchers therefore use high-pass filtration before the final analysis. In this study, the effect of digital and analog high-pass filtration on the morphology of the lung sound crackles is evaluated. The original nonprefiltered crackle waveform is presented, and the effect of the high-pass filtration on the crackle waveform characteristics is elucidated in one patient with silicoasbestosis.

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30

Liu, Haoqiang, Hongbo Zhao, and Wenquan Feng. "Filtering-Based Regularized Sparsity Variable Step-Size Matching Pursuit and Its Applications in Vehicle Health Monitoring." Applied Sciences 11, no. 11 (2021): 4816. http://dx.doi.org/10.3390/app11114816.

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Recent years have witnessed that real-time health monitoring for vehicles is gaining importance. Conventional monitoring scheme faces formidable challenges imposed by the massive signals generated with extremely heavy burden on storage and transmission. To address issues of signal sampling and transmission, compressed sensing (CS) has served as a promising solution in vehicle health monitoring, which performs signal sampling and compression simultaneously. Signal reconstruction is regarded as the most critical part of CS, while greedy reconstruction has been a research hotspot. However, the ex

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31

Salih, Thair A. "New approach to eliminate noise attendants ECG signal corrupted." International Journal Artificial Intelligent and Informatics 2, no. 2 (2022): 67–78. http://dx.doi.org/10.33292/ijarlit.v2i2.36.

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ECG signals have been largely utilized in cardiac pathology to detect heart ailments. ECG signals are commonly corrupted by disparate artifacts such as power line obtrusion exterior electromagnetic domain intervention, noise due to random object motions, breathing motions, and electromyography noise and these should be eliminated before diagnosis.This article explains the creation and performance of three types of band-stop filters based on FPAA technology to accurately estimate an ECG corrupted signal. The characteristics of these filters are improved and their parameters are calculated to mi

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32

Gogolewski, Damian, Paweł Zmarzły, Tomasz Kozior, and Thomas G. Mathia. "Possibilities of a Hybrid Method for a Time-Scale-Frequency Analysis in the Aspect of Identifying Surface Topography Irregularities." Materials 16, no. 3 (2023): 1228. http://dx.doi.org/10.3390/ma16031228.

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The article presents research results related to assessing the possibilities of applying modern filtration methods to diagnosing measurement signals. The Fourier transformation does not always provide full information about the signal. It is, therefore, appropriate to complement the methodology with a modern multiscale method: the wavelet transformation. A hybrid combination of two algorithms results in revealing additional signal components, which are invisible in the spectrum in the case of using only the harmonic analysis. The tests performed using both simulated signals and the measured ro

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33

Kostov, Mitko, Cvetko Mitrovski, and Momcilo Bogdanov. "Non-uniform threshold as an alternative to uniform threshold in denoising in wavelet domain." Facta universitatis - series: Electronics and Energetics 23, no. 1 (2010): 139–46. http://dx.doi.org/10.2298/fuee1001139k.

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In this paper we present the advantage of non-uniform over uniform threshold wavelet shrinkage denoising method, applied on noisy signals with signal dependent noise. We illustrate our results by comparing the noise energy after using the both filtration methods on the same set of artificially noise contaminated images. The experiments are made with NPR-QMF filter banks instead with the filter banks that are commonly used in wavelet applications.

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34

Medvedev, M. M., and A. B. Parizhskiy. "On the question of assessing the quality of electrocardiac signal registration." Journal of Arrhythmology 32, no. 1 (2025): 15–21. https://doi.org/10.35336/va-1469.

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35

Elsayed, Walaa M., Maazen Alsabaan, Mohamed I. Ibrahem, and Engy El-Shafeiy. "The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life." Sensors 24, no. 18 (2024): 6102. http://dx.doi.org/10.3390/s24186102.

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This paper describes a revolutionary design paradigm for monitoring aquatic life. This unique methodology addresses issues such as limited memory, insufficient bandwidth, and excessive noise levels by combining two approaches to create a comprehensive predictive filtration system, as well as multiple-transfer route analysis. This work focuses on proposing a novel filtration learning approach for underwater sensor nodes. This model was created by merging two adaptive filters, the finite impulse response (FIR) and the adaptive line enhancer (ALE). The FIR integrated filter eliminates unwanted no

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36

Lee, Soohyun, Minjae Lee, and Hyosung Cho. "Feasibility of improving image performance in photon-counting computed tomography using X-ray spectrum filtration." Journal of Instrumentation 19, no. 03 (2024): C03041. http://dx.doi.org/10.1088/1748-0221/19/03/c03041.

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Abstract Photon-counting computed tomography (PCCT) is an emerging technology based on new energy-resolving X-ray detectors (photon-counting detectors (PCDs)) that provide promising image performance compared to the conventional energy-integrating CT (EICT). It has the potential to provide higher resolution and contrast, lower radiation dose, and fewer artifacts, which has led to significant research interest. This study proposes a method to further improve the image performance of the PCCT using an X-ray spectrum filtration technique. We conducted a feasibility study via simulations using alu

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37

Shulga, Tatiana, and Anton Khmel. "FEATURES OF USING ADAPTIVE FILTERING FOR SIGNAL PREPROCESSING." Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia» 2024, no. 3 (2024): 26–34. https://doi.org/10.61260/2218-130x-2024-3-26-34.

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The work conducts an experiment to isolate a useful signal from a correlated one (signal + noise) using the adaptive filtering method, evaluates its effectiveness, and the possibility of its use for signal preprocessing in acoustic methods for determining leaks in a pipeline system. The results obtained showed that the adaptive filtration method can be used in acoustic methods for detecting leaks in pipeline systems.

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38

Kotus, Józef, and Grzegorz Szwoch. "Separation of Simultaneous Speakers with Acoustic Vector Sensor." Sensors 25, no. 5 (2025): 1509. https://doi.org/10.3390/s25051509.

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This paper presents a method of sound source separation in live audio signals, based on sound intensity analysis. Sound pressure signals recorded with an acoustic vector sensor are analyzed, and the spectral distribution of sound intensity in two dimensions is calculated. Spectral components of the analyzed signal are selected based on the calculated source direction, which leads to a spatial filtration of the sound. The experiments were performed with test signals convolved with impulse responses of a real sensor, recorded for a varying sound source position. The experiments evaluated the pro

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Hsiao, Shu-Wei, Yu-Jen Chen, and Jung-Tang Huang. "Portable self-flowing platform for filtration separation of samples." Analytical Methods 13, no. 32 (2021): 3605–13. http://dx.doi.org/10.1039/d1ay00716e.

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40

Efimov, V. M., A. L. Reznik, and Yu V. Bondarenko. "Filtration of a periodic signal when its period is not divisible by the signal sampling interval." Pattern Recognition and Image Analysis 25, no. 2 (2015): 161–66. http://dx.doi.org/10.1134/s105466181502008x.

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41

Grechnikov, Fedor V., Andrei V. Kochetkov, and Oleg V. Zakharov. "Analysis of the applicability of filtration methods for coordinate measurements." MATEC Web of Conferences 224 (2018): 01093. http://dx.doi.org/10.1051/matecconf/201822401093.

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At present, surface metrology solves such important tasks as monitoring the production process and optimizing the exploitation of parts. A significant part of the measurements is performed by a contact method using Coordinate Measuring Machines. One of the important steps in the processing of measurement information is the filtration of the received signal. The existing standards regulate only the processes of measuring roundness and roughness. Therefore, researches on the applicability of filtration methods in the general case for coordinate measurements are relevant. Based on the review pres

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42

Marsh, Donald J., Dmitry D. Postnov, Olga V. Sosnovtseva, and Niels-Henrik Holstein-Rathlou. "The nephron-arterial network and its interactions." American Journal of Physiology-Renal Physiology 316, no. 5 (2019): F769—F784. http://dx.doi.org/10.1152/ajprenal.00484.2018.

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Tubuloglomerular feedback and the myogenic mechanism form an ensemble in renal afferent arterioles that regulate single-nephron blood flow and glomerular filtration. Each mechanism generates a self-sustained oscillation, the mechanisms interact, and the oscillations synchronize. The synchronization generates a bimodal electrical signal in the arteriolar wall that propagates retrograde to a vascular node, where it meets similar electrical signals from other nephrons. Each signal carries information about the time-dependent behavior of the regulatory ensemble. The converging signals support sync

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43

Allali, Abdenour, Arres Bartil, Lahcene Ziet, and Amar Hebibi. "Revealing and evaluating the influence of filters position in cascaded filter: application on the ECG de-noising performance disparity." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 829. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp829-838.

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In this paper, a new optimization on windowing technique based on finite impulse response (FIR) filters is proposed for revealing and evaluating the Influence of filters position in cascaded filter tested on the ECG signal de-noising. baseline wander (BLW), power line interference (PLI) and electromyography (EMG) noises are getting removed. The performance of the adopted method is evaluated on the PTB diagnostic database. Subsequently, the comparisons are based on signal to noise ratio (SNR) improvement and mean square error (MSE) minimization. Where the Rectangular, and Kaiser windows have be

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44

Allali, Abdenour, Arres Bartil, Lahcene Ziet, and Amar Hebibi. "Revealing and evaluating the influence of filters position in cascaded filter: application on the ECG de-noising performance disparity." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 829–38. https://doi.org/10.11591/ijeecs.v21.i2.pp829-838.

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In this paper, a new optimization on windowing technique based on finite impulse response (FIR) filters is proposed for revealing and evaluating the Influence of filters position in cascaded filter tested on the ECG signal denoising. baseline wander (BLW), power line interference (PLI) and electromyography (EMG) noises are gettingremoved. The performance of the adopted method is evaluated on the PTB diagnostic database. Subsequently, the comparisons are based on signal to noise ratio (SNR) improvement and mean square error (MSE) minimization. Where the Rectangular, and Kaiser windows have been

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45

Villena, C., D. Pazos, E. M. Andrés, and A. Sanz. "Influence of different wavelet filtering reconstruction techniques applied to bidimensional surface texture characterization." IOP Conference Series: Materials Science and Engineering 1193, no. 1 (2021): 012056. http://dx.doi.org/10.1088/1757-899x/1193/1/012056.

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Abstract This article develops a preliminary study of the wavelet filtering application in surface finishing, extracting two-dimensional information from the surface microgeometry in a profile. First, the key elements to be considered in the analysis are described, starting with the surface finishing process of measurement. Then, the fundamentals of wavelet-based filtering and the traditional filtration procedure is shown. This procedure eliminates the values of the detail coefficients obtained in the filtering process before the reconstruction of the signal. Other alternatives of filtration,

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PYATIN, I., V. GAVRONSKIY, V. LUZHANSKIY, and V. MIKHALCHUK. "RESEARCH COMMUNICATION SYSTEMS WITH F-OFDM SIGNALS." Herald of Khmelnytskyi National University 301, no. 5 (2021): 170–76. http://dx.doi.org/10.31891/2307-5732-2021-301-5-170-176.

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OFDM (Orthogonal frequency division multiplexing) signals are widely used in modern mobile standards. They have a number of disadvantages, such as the high ratio of peak power to average power (PAPR), large out-of-band components of the sinc shape spectrum, and the like. OFDM provides high spectrum efficiency due to orthogonal frequency multiplexing. To achieve orthogonality and avoid interference, it is necessary to align the signals of the transmitter and receiver in time and frequency. Imperfect synchronization can lead to suboptimal performance. Fifth generation (5G) communication systems

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Beliavskiy, G. I., and I. V. Misyura. "The signal filtration under switching regime model. The Monte-Carlo evaluation." Applied Mathematical Sciences 8 (2014): 8833–40. http://dx.doi.org/10.12988/ams.2014.410876.

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48

Yaseen, A. S., and A. N. Pavlov. "Digital audio signal filtration based on the dual-tree wavelet transform." Technical Physics Letters 41, no. 7 (2015): 680–82. http://dx.doi.org/10.1134/s1063785015070305.

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Yasin, A. S., O. N. Pavlova, and A. N. Pavlov. "Speech signal filtration using double-density dual-tree complex wavelet transform." Technical Physics Letters 42, no. 8 (2016): 865–67. http://dx.doi.org/10.1134/s1063785016080290.

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Tymochko, Oleksandr, Volodymyr Larin, Maksym Kolmykov, Oleksander Timochko, and Vladislava Pavlenko. "RESEARCH OF IMAGES FILTRATION METHODS IN COMPUTER SYSTEMS." Advanced Information Systems 5, no. 1 (2021): 93–99. http://dx.doi.org/10.20998/2522-9052.2021.1.13.

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It is known that human eyes are less sensitive to color, than to their brightness. In the RGB color space, all three components are considered equally important, and they are usually stored with the same resolution. However, you can display a color image more efficiently, separating the brightness from color information and presenting it with a higher resolution than color. RGB space is well suited for computer graphics, because it uses these three components for color formation. However, RGB space is not very effective when it comes to real images. The fact is that to save the color of an ima

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