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Journal articles on the topic 'Moving average filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Valachovic, Edward L. "An extension of the iterated moving average." PLOS One 20, no. 7 (2025): e0328080. https://doi.org/10.1371/journal.pone.0328080.

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This work introduces an extension of the iterated moving average filter, called the Extended Kolmogorov-Zurbenko (EKZ) filter for time series and spatio-temporal analysis. The iterated application of a central simple moving average (SMA) filter, also known as a Kolmogorov-Zurbenko (KZ) filter, is a low-pass filter defined by the length of the moving average window and the number of iterations. These two arguments determine the filter properties such as the energy transfer function and cut-off frequency. However, the existing KZ filter is only defined for positive odd integer window lengths. Th

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Safir, P. "REAL TIME NOISE FILTERING WITH SOFTWARE FILTERS." POLISH JOURNAL OF SCIENCE, no. 56 (November 14, 2022): 70–74. https://doi.org/10.5281/zenodo.7415470.

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In this article, I would like to discuss noise filtering from sensors. How does noise appear? What is the difference between external and internal noise? The sources and causes of noise and to discuss software filtering algorithms. Moving average filter, Adaptive moving averages filter, median filter, Kalman filter. How and when to use software filters.

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Liu, Jiani, Elvin Isufi, and Geert Leus. "Filter Design for Autoregressive Moving Average Graph Filters." IEEE Transactions on Signal and Information Processing over Networks 5, no. 1 (2019): 47–60. http://dx.doi.org/10.1109/tsipn.2018.2854627.

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Setiahadiwibowo, Ajimas Pascaning, Sismanto, Anik Hilyah, Lia Andri Anggraeni, Moh Singgih Purwanto, and Ceni Febi Kurnia Sari. "Comparison of Upward Continuation and Moving Average Filters for Satellite Gravity Data in Probolinggo Fault Case Study." IOP Conference Series: Earth and Environmental Science 1486, no. 1 (2025): 012021. https://doi.org/10.1088/1755-1315/1486/1/012021.

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Abstract In gravity data processing, selecting the correct filter results in accurate interpretation. In this study, upward continuation and moving average filters were applied to delineate the existence of the Probolinggo Fault. The data used is satellite gravity data from the Global Gravity Model Plus (GGMplus) 2013, after which corrections were made to the data to obtain a complete Bouguer anomaly map. The next step is filtering to obtain residual anomalies. In the moving average filter, a window width of 47 was used, and in the upward continuation filter, the best anomaly was obtained at a

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Pereira, Tiago, Victor Santos, Tiago Gameiro, Carlos Viegas, and Nuno Ferreira. "Evaluation of Different Filtering Methods Devoted to Magnetometer Data Denoising." Electronics 13, no. 11 (2024): 2006. http://dx.doi.org/10.3390/electronics13112006.

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In this article, we describe a performance comparison conducted between several digital filters intended to mitigate the intrinsic noise observed in magnetometers. The considered filters were used to smooth the control signals derived from the magnetometers, which were present in an autonomous forestry machine. Three moving average FIR filters, based on rectangular Bartlett and Hanning windows, and an exponential moving average IIR filter were selected and analyzed. The trade-off between the noise reduction factor and the latency of the proposed filters was also investigated, taking into accou

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Zuhdi, Muhammad, Syahrial Ayub, Muhammad Taufik, Syamsuddin Syamsuddin, and Bakti Sukrisna. "Moving Average Filter untuk Memisahkan Efek Dangkal Anomali Gravitasi Time Lapse." Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram 7, no. 2 (2019): 121. http://dx.doi.org/10.33394/j-ps.v7i2.1766.

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[Title: Moving Average Filter for Time Lapse Gravity Anomaly Separation]. Interpretation of time-lapse gravity anomaly due to fluid injection in the reservoir is difficult when it mixed with shallow source anomalies. To solve the kind of problem, anomaly separation is performed with the method of Moving Average Filter. This study was conducted to obtain an effective method to separate the gravity anomaly of shallow sources on time-lapse gravity anomaly. Trials are conducted on anomaly models derived from reservoirs with three distinct depths that are 300, 600 and 900 meters. This forward model

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Fawaz, Samer, Daniel Munhoz, Thabo Mahendiran, et al. "Assessing the Impact of Prolonged Averaging of Coronary Continuous Thermodilution Traces." Diagnostics 14, no. 3 (2024): 285. http://dx.doi.org/10.3390/diagnostics14030285.

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Continuous Thermodilution is a novel method of quantifying coronary flow (Q) in mL/min. To account for variability of Q within the cardiac cycle, the trace is smoothened with a 2 s moving average filter. This can sometimes be ineffective due to significant heart rate variability, ventricular extrasystoles, and deep inspiration, resulting in a fluctuating temperature trace and ambiguity in the location of the “steady state”. This study aims to assess whether a longer moving average filter would smoothen any fluctuations within the continuous thermodilution traces resulting in improved interpret

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HUANG, CHAO, LIHUA YANG, and YANG WANG. "CONVERGENCE OF A CONVOLUTION-FILTERING-BASED ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION." Advances in Adaptive Data Analysis 01, no. 04 (2009): 561–71. http://dx.doi.org/10.1142/s1793536909000205.

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Lin et al. propose the iterative Toeplitz filters algorithm as an alternative iterative algorithm for Empirical Mode Decomposition (EMD). In this alternative algorithm, the average of the upper and lower envelopes is replaced by certain "moving average" obtained through a low-pass filter. Performing the traditional sifting algorithm with such moving averages is equivalent to iterating certain convolution filters (finite length Toeplitz filters). This paper studies the convergence of this algorithm for signals of continuous variables, and proves that the limit function of this iterative algorit

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Fiddariani, Agritian Sevty, and Budi Sumanto. "Studi Penerapan Filter Digital pada Sistem Pemantau Parameter di Kolam Ikan." Jurnal Listrik, Instrumentasi, dan Elektronika Terapan 5, no. 1 (2024): 30. http://dx.doi.org/10.22146/juliet.v5i1.87377.

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Indonesia memiliki potensi yang besar pada sektor perikanan terutama pada sektor perikanan budidaya. Seiring dengan tingginya potensi perikanan budidaya maka diperlukan pula perhatian yang lebih baik pada aspek-aspek yang mendukung budidaya perikanan, seperti suhu, pH, dan kedalaman air. Pada penelitian sebelumnya, hasil pengukuran parameter tersebut belum tervalidasi dan terpengaruh oleh gangguan. Oleh karena itu, dilakukan studi mengenai penerapan metode filter digital yang meliputi filter Kalman, moving average filter, dan filter Hanning untuk menentukan dari ketiga metode filter tersebut m

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Purnamasari, Dian Neipa, Kunto Aji Wibisono, and Hanifudin Sukri. "Digital Moving Average Filter Application for Echo Signals and Temperature." E3S Web of Conferences 328 (2021): 02007. http://dx.doi.org/10.1051/e3sconf/202132802007.

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In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the PI controller. The implementation of the moving average filter on the echo signal data will compare the second-order MAF and the fourth-order MAF. The results of the test show that the use of a digital filter makes the data smoother when compared to unfiltered data. Furthermore, the comparison of orders on the MAF filter has an impact on the fil

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Silva, Jean Gonzalez, José Oniram De Aquino Limaverde Filho, and Eugênio Liborio Feitosa Fortaleza. "Adaptive Extended Kalman Filter using Exponencial Moving Average." IFAC-PapersOnLine 51, no. 25 (2018): 208–11. http://dx.doi.org/10.1016/j.ifacol.2018.11.106.

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Schulze, H. Georg, Rod B. Foist, Andre Ivanov, and Robin F. B. Turner. "Fully Automated High-Performance Signal-to-Noise Ratio Enhancement Based on an Iterative Three-Point Zero-Order Savitzky—Golay Filter." Applied Spectroscopy 62, no. 10 (2008): 1160–66. http://dx.doi.org/10.1366/000370208786049079.

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The automated processing of data from high-throughput and real-time collection procedures is becoming a pressing problem. Currently the focus is shifting to automated smoothing techniques where, unlike background subtraction techniques, very few methods exist. We have developed a filter based on the widely used and conceptually simple moving average method or zero-order Savitzky–Golay filter and its iterative relative, the Kolmogorov–Zurbenko filter. A crucial difference, however, between these filters and our implementation is that our fully automated smoothing filter requires no parameter sp

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HOTA, MALAYA KUMAR, and VINAY KUMAR SRIVASTAVA. "MULTISTAGE FILTERS FOR IDENTIFICATION OF EUKARYOTIC PROTEIN CODING REGIONS." International Journal of Biomathematics 05, no. 02 (2012): 1250018. http://dx.doi.org/10.1142/s179352451100160x.

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A class of multistage filters, namely, real narrowband bandpass filter (RNBPF) has been previously used for identification of protein coding regions. This filter passes the frequency component at 2π/3 along with its conjugate. This conjugate frequency component may degrade the identification accuracy. To improve the identification accuracy, two types of multistage filters are proposed in this paper. A complex narrowband bandpass filter (CNBPF) is proposed for suppressing the conjugate frequency component which, in turn, reduces the background noise present in the deoxyribonucleic acid (DNA) sp

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Wang, Pei, Ding Hua Zhang, Shan Li, Ming Wei Wang, and Bing Chen. "Statistical Process Control Based on Kalman Filter in Manufacturing Process." Advanced Materials Research 201-203 (February 2011): 986–89. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.986.

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In order to reduce the impact of data noise to quality control and make monitor results more precise in manufacturing process, the method of statistical process control based on Kalman filter was proposed. In this method, the statistical process control model based on Kalman filter was built and the quality control method of exponentially weighted moving average based on Kalman filter was put forward. While monitoring manufacturing process, first the technology of Kalman filter was used to smooth data and to reduce noise, and then control charts were built by the method of exponentially weight

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Shestakov, A. L., and A. V. Keller. "Optimal Dynamic Measurement Method Using Digital Moving Average Filter." Journal of Physics: Conference Series 1864, no. 1 (2021): 012073. http://dx.doi.org/10.1088/1742-6596/1864/1/012073.

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Lee, Jun-Yeon. "The Motion Artifact Reduction using Periodic Moving Average Filter." Journal of the Korea Society of Computer and Information 17, no. 4 (2012): 75–82. http://dx.doi.org/10.9708/jksci.2012.17.4.075.

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Jimenez, C., A. I. McLeod, and K. W. Hipel. "Kalman filter estimation for periodic autoregressive-moving average models." Stochastic Hydrology and Hydraulics 3, no. 3 (1989): 227–40. http://dx.doi.org/10.1007/bf01543862.

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DJORDJEVIĆ, ANTONIJE, DEJAN TOŠIĆ, and MILICA DJURIĆ-JOVIČIĆ. "A THEOREM ON REPEATED FILTERING." Journal of Circuits, Systems and Computers 23, no. 10 (2014): 1450136. http://dx.doi.org/10.1142/s0218126614501369.

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Repeatedly passing a signal through a low-pass filter may resemble using a Gaussian or hyper-Gaussian filter. Conditions are established for this resemblance. A theorem on approximation of Gaussian and hyper-Gaussian filters by a cascade of simple filters is established and the corresponding phase and group delay characteristics are analyzed. The theorem and the analysis are exemplified by cascading moving-average filters and the first-order Butterworth filters.

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Pratama, Dananjaya Endi, Muhammad Aldino Habibulloh, Muhammad Riza Darmawan, Candra Putri Rizkiyah Ramadhani, Mohammad Erdianto Triputradi, and Martiana Kholila Fadhil. "A Study on Reducing Measurement Fluctuations in Iron-Electrode Salinity Sensor Using Moving Average and Kalman Filters." Journal of Applied Electrical Engineering 9, no. 1 (2025): 101–8. https://doi.org/10.30871/jaee.v9i1.9539.

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Indonesia is recognized as one of the leading shrimp-producing countries globally, with most farms operating on a small scale using traditional methods. This creates a strong demand for low-cost technologies to support aquaculture. One critical component in shrimp farming is water quality monitoring, where salinity is a key parameter affecting shrimp health and growth. Affordable salinity sensors using iron electrodes are increasingly considered. However, they often produce unstable and fluctuating readings, compromising monitoring reliability. This study addresses the issue by applying digita

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20

Komatsu, Wilson, Naji Ama, and Lourenco Matakas Junior. "Digital Control for PLLs Based on Moving Average Filter: Analysis and Design in Discrete Domain." Eletrônica de Potência 20, no. 3 (2015): 293–99. http://dx.doi.org/10.18618/rep.2015.3.2547.

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Chairulloh Widia S, Fahmi, and Dadang Iskandar. "Digital Image Processing Untuk Grading Citra Buah Manggis menggunakan Metode K-NN." Smart Comp: Jurnalnya Orang Pintar Komputer 11, no. 2 (2022): 116–23. http://dx.doi.org/10.30591/smartcomp.v11i2.3528.

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Noise yang muncul pada saat perekaman data gerakan mata dapat menyebabkan ketidaktepatan dalam pembacaan data. Berbagai filter pemrosesan sinyal dapat digunakan untuk menghilangkan noise ini, khususnya. Namun, selama pergerakan mata pengejaran yang mulus, perbandingan kinerja filter pemrosesan sinyal tersebut belum diketahui saat diimplementasikan dalam kalibrasi berbasis pengejaran yang mulus. Metode, dalam penelitian ini kami membandingkan tiga filter pemroses sinyal yaitu moving average gaussian dan filter kalman untuk menghilangkan noise pada pergerakan mata pengejaran yang halus. Dalam pe

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MUBDIR, Bilal A. "EFFECT OF MOVING AVERAGE FILTER WITH PID CONTROLLER USING HIL TECHNIQUE." MINAR International Journal of Applied Sciences and Technology 03, no. 03 (2021): 111–23. http://dx.doi.org/10.47832/2717-8234.3-3.14.

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Designing fast response controller that can achieving steady state with minimum error is big challenge in control application. Proportional Integral Derivate (PID) controllers are conventional controllers for their simplicity and wide range of applications in industrial. Many efforts have been made in improving the PID controller performance by enhancing the controller with different techniques for tuning its operation or filtering the feedback signal. In this paper, the effect of using Moving Average filter with the PID controller for controlling the speed of Permanent Magnet DC (PMDC) Motor

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Ramesh, Akshitha V., Apeksha Ravi Kumar, Amulya S. Iyengar, and Lekha Yadav B. "Implementation and Design of FIR Filters using Verilog HDL and FPGA." Perspectives in Communication, Embedded-systems and Signal-processing - PiCES 4, no. 5 (2020): 85–88. https://doi.org/10.5281/zenodo.4018834.

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Digital filters play a major role in Very Large-Scale Integration Technology (VLSI), as most VLSI systems use addition as an integral operation. One such filter is FIR filter, whose basic implementation is achieved by adders. This paper mainly aims at designing a Moving Average 4-tap FIR filter using Verilog HDL and is implemented using Xilinx software and Spartan 6 FPGA kit with the concepts of Multiply and Accumulate (MAC) operation and convolution.

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Chalifatullah, Fajar Alif, Wahyu Setyo Pambudi, and Ilmiatul Masfufiah. "Implementasi Moving Average dan Kalman Filter pada Wireless Odometer untuk Informasi Service Kendaraan Bermotor." Jurnal Sistem Komputer dan Informatika (JSON) 4, no. 1 (2022): 156. http://dx.doi.org/10.30865/json.v4i1.4899.

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Regular maintenance is one step to keep your car looking good, but many people still underestimate the importance of regular maintenance. A tool called Wireless Odometer has been created which can notify vehicle owners through the application if the vehicle mileage has entered the recommended criteria for periodic servicing. Based on previous research, Wireless Odometer still has weaknesses. sensor readings on this tool still have an error of 13.2% so it is still less accurate if applied to measure mileage on vehicles. It is necessary to have a digital filter that must be added to the sensor r

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Biswas, Debdut. "Moving average filter for spur reduction in subsampling fractional PLLs." Analog Integrated Circuits and Signal Processing 109, no. 3 (2021): 695–704. http://dx.doi.org/10.1007/s10470-021-01944-6.

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Biswas, Debdut. "Moving average filter for spur reduction in subsampling fractional PLLs." Analog Integrated Circuits and Signal Processing 109, no. 3 (2021): 695–704. http://dx.doi.org/10.1007/s10470-021-01944-6.

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Sumathi, S. "Designing a Moving Average FIR Filter for Acquiring Heart Murmur." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 1470–73. http://dx.doi.org/10.22214/ijraset.2019.4267.

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Lee, Junyeon. "Motion artifacts reduction from PPG using cyclic moving average filter." Technology and Health Care 22, no. 3 (2014): 409–17. http://dx.doi.org/10.3233/thc-140798.

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Trigui, Omar, Sawsan Daoud, Mohamed Ghorbel, and Chokri Mhiri. "SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features." Computational Intelligence and Neuroscience 2020 (May 8, 2020): 1–11. http://dx.doi.org/10.1155/2020/7459587.

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Brain-computer interface (BCI) systems translate the human neurophysiological activities into commands through EEG analysis. Improving the BCI performances leads to faster and easier use and less fatigue. In this study, we proposed a new prepossessing approach to increase the robustness of a steady-state visual evoked potential (SSVEP) based BCI. Inspiring from the known properties of the SSVEP frequency components, the goal was to enhance the signal quality by making it more convenient to be interpreted by the decision-making step. We first investigated the potential to detect the deteriorati

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HUBELE, NORMA FARIS, and SHING I. CHANG. "Adaptive Exponentially Weighted Moving Average Schemes Using a Kalrnan Filter." IIE Transactions 22, no. 4 (1990): 361–69. http://dx.doi.org/10.1080/07408179008964190.

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Liu, Yu-liang, Jie Zhu, Zhen-qiu Zhan, and Yin-fei Ren. "Improved scheme of internet congestion control under moving average filter." Journal of Shanghai Jiaotong University (Science) 14, no. 6 (2009): 641–44. http://dx.doi.org/10.1007/s12204-009-0641-y.

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Berger, C. S. "Self-tuning control of offset using a moving average filter." IEE Proceedings D Control Theory and Applications 133, no. 4 (1986): 184. http://dx.doi.org/10.1049/ip-d.1986.0029.

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Morales, Luis Javier, and Yuriy Shmaliy. "Moving Average Hybrid Filter to the Enhancing Ultrasound Image Processing." IEEE Latin America Transactions 8, no. 1 (2010): 9–16. http://dx.doi.org/10.1109/tla.2010.5453940.

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Takahashi, Satoshi, and Susumu Miwa. "Suppression of radar clutter with a weighted moving average filter." Electronics and Communications in Japan (Part I: Communications) 77, no. 1 (1994): 57–65. http://dx.doi.org/10.1002/ecja.4410770106.

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RIM, Minjoong. "Filter Size Determination of Moving Average Filters for Extended Differential Detection of OFDM Preambles." IEICE Transactions on Communications E92-B, no. 12 (2009): 3953–56. http://dx.doi.org/10.1587/transcom.e92.b.3953.

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RIFANTI, UTTI MARINA, HERRYAWAN PUJIHARSONO, ANDRI SETIAWAN, and JANS HENDRY. "Implementasi Moving Average Filter untuk Koreksi Kesalahan Sensor Pengukur Kedalaman Air." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 8, no. 2 (2020): 432. http://dx.doi.org/10.26760/elkomika.v8i2.432.

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ABSTRAKAspek utama yang membedakan sensor satu dengan yang lainnya adalah tingkat akurasinya. Pada penelitian ini, dibuat sistem untuk menurunkan tingkat deviasi untuk meminimalisir kesalahan hasil pengukuran pada sensor berbiaya murah. Sensor yang digunakan adalah sensor tekanan udara BMP180. Sensor tersebut digunakan untuk mengukur kedalaman berdasarkan tekanan udara dalam air. Moving Average Filter (MAF) digunakan untuk membuang pencilan data, sehingga didapatkan data yang lebih relevan yang kemudian digunakan untuk melakukan curve fitting. Kemudian dilakukan analisis regresi linear untuk m

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Ortiz Martinz, Fernando, Rayra Destro, Naji Rajai Nasri Ama, Kelly Caroline Mingorancia de Carvalho, Wilson Komatsu, and Lourenço Matakas Junior. "MODELING AND DESIGN OF A FAST-DYNAMIC RESPONSE PHASE-LOCKED LOOP BASED ON MOVING AVERAGE FILTER." Eletrônica de Potência 25, no. 1 (2020): 114–24. http://dx.doi.org/10.18618/rep.2020.1.0003.

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Sigit, Radyta Alicia Pramestia, and Dene Herwanto. "Penerapan Metode Double Exponential Smoothing dan Moving Average pada Peramalan Persediaan Spare Part Oil Filter di PT. X Cabang Karawang." Industrika : Jurnal Ilmiah Teknik Industri 8, no. 4 (2024): 935–46. https://doi.org/10.37090/indstrk.v8i4.1508.

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One of the most important elements in a trading company is inventory. Inventories are merchandise purchased and then stored for further resale in operations. The purpose of this research is that PT. X Karawang Branch can determine the right amount of inventory for oil filter spare parts so that their availability is maintained and can meet consumer needs. Double Exponential Smoothing and Moving Average are methods that are in accordance with the problems that occur at PT. X Karawang Branch, especially in the problem section of determining supply of oil filter spare parts. Forecasting oil filte

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Jia, Xiao Gang. "Monitoring of Deep Processing of Oil De-Noising Technique." Applied Mechanics and Materials 52-54 (March 2011): 654–58. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.654.

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Oil for deep processing of the signal contains a lot of pulse interference monitoring and random non-stationary noise characteristics; this paper presents a wavelet-based moving average against impulse noise filter. First on the hydraulic signal wavelet de-noising, wavelet processing and then the results after anti-pulse moving average processing. The simulation signals and hydraulic monitoring signal de-noising experiments show that: the use of wavelet technology and anti-pulse interference filter combination of moving average method has good oil pressure monitoring signal filtering, to achie

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Surender, Vellore P., and Ranjan Ganguli. "Adaptive Myriad Filter for Improved Gas Turbine Condition Monitoring Using Transient Data." Journal of Engineering for Gas Turbines and Power 127, no. 2 (2005): 329–39. http://dx.doi.org/10.1115/1.1850491.

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The removal of noise and outliers from measurement signals is a major problem in jet engine health monitoring. In this study, we look at the myriad filter as a substitute for the moving average filter that is widely used in the gas turbine industry. The three ideal test signals used in this study are the step signal that simulates a single fault in the gas turbine, while ramp and quadratic signals simulate long term deterioration. Results show that the myriad filter performs better in noise reduction and outlier removal when compared to the moving average filter. Further, an adaptive weighted

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R., Mathushaharan. "Digital Moving Average Filter for De-noising the Ultrasonic Signals Utilized in COVID-19 PreventionApplications." International Journal of Innovative Science and Research Technology 7, no. 9 (2022): 1116–19. https://doi.org/10.5281/zenodo.7171470.

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This research paper presents a digital moving av- erage filter for noise removal of the ultrasonic signal which plays a major role in COVID-19 prevention applications such as social distance detection systems and sensor-based handwashing systems. The goal of the abovementioned filter is to improve the accuracy of distance measurements. The filter design procedure was carried out mainly using software called Matrix Labora-tory with the assistance of hardware components such as the Arduino development board, ultrasonic sensor, and breadboard. Furthermore, a comprehensive analysis was conducted b

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Seng, Hansun, and Subanar. "Brown's Weighted Exponential Moving Average Implementation in Forex Forecasting." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1425–32. https://doi.org/10.12928/TELKOMNIKA.v15i3.5410.

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In 2016, a time series forecasting technique which combined the weighting factor calculation formula found in weighted moving average with Brown’s double exponential smoothing procedures had been introduced. The technique is known as Brown’s weighted exponential moving average (B-WEMA), as a new variant of double exponential smoothing method which does the exponential filter processes twice. In this research, we will try to implement the new method to forecast some foreign exchange, or known as forex data, including EUR/USD, AUD/USD, GBP/USD, USD/JPY, and EUR/JPY data. The time ser

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Kordestani, Hadi, Yi-Qiang Xiang, and Xiao-Wei Ye. "Output-Only Damage Detection of Steel Beam Using Moving Average Filter." Shock and Vibration 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/2067680.

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This paper provides a simple and direct output-only baseline-free method to detect damage from the noisy acceleration data by using Moving Average Filter (MAF). MAF is a convolution approach based on a simple filter kernel (rectangular shape) that works as an averaging method to smooth signal and remove incorporated noise. In this paper, a method is proposed to employ MAF to smooth acceleration signals obtained from a series of accelerometers and determine the damage location along a steel beam. To verify the proposed method, a simply supported beam was modelled through a 3D numerical simulati

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Rafhanah, Shazwani Rosli, Hadi Habaebi Mohamed, and Rafiqul Islam Md. "Analysis of different digital filters for received signal strength indicator." Bulletin of Electrical Engineering and Informatics 8, no. 3 (2019): 970–77. https://doi.org/10.11591/eei.v8i3.1508.

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Due to high demand in Internet of Things applications, researchers are exploring deeper alternative methods to provide efficiency in terms of application, energy, and cost among other factors. A frequently used technique is the Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into more reliable data. A contrasting analysis of three different types of digital filters is presented in this paper, namely: Simple Moving Average filter,

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Azami, Hamed, Karim Mohammadi, and Behzad Bozorgtabar. "An Improved Signal Segmentation Using Moving Average and Savitzky-Golay Filter." Journal of Signal and Information Processing 03, no. 01 (2012): 39–44. http://dx.doi.org/10.4236/jsip.2012.31006.

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Prasetyono, A. P., I. W. Adiyasa, A. Yudianto, and S. N. K. Agit. "Multiple Sensing Method Using Moving Average Filter for Automotive Ultrasonic Sensor." Journal of Physics: Conference Series 1700 (December 2020): 012075. http://dx.doi.org/10.1088/1742-6596/1700/1/012075.

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Salih, Sameer K., S. A. Aljunid, Syed M. Aljunid, and Oteh Maskon. "Adaptive Filtering Approach for Denoising Electrocardiogram Signal Using Moving Average Filter." Journal of Medical Imaging and Health Informatics 5, no. 5 (2015): 1065–69. http://dx.doi.org/10.1166/jmihi.2015.1495.

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Kweon, S. J., S. H. Shin, and H. J. Yoo. "High-order temporal moving-average filter using a multi-transconductance amplifier." Electronics Letters 48, no. 15 (2012): 961. http://dx.doi.org/10.1049/el.2012.1461.

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Liu, Junhao, Zhouzheng Gao, Yan Li, Siao Lv, Jia Liu, and Cheng Yang. "Ranging Offset Calibration and Moving Average Filter Enhanced Reliable UWB Positioning in Classic User Environments." Remote Sensing 16, no. 14 (2024): 2511. http://dx.doi.org/10.3390/rs16142511.

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With the rapid development of the Internet of Things (IoT), the positioning accuracy requirement of the IoT is increasing, especially for those applications without Global Navigation Satellite System (GNSS) signals. Ultra-Wideband (UWB) is treated as a high-accuracy positioning method that can be utilized in GNSS-blocked environments. However, UWB’s performance is still limited when it is applied in practical applications due to errors such as Non-Line-of-Sight (NLOS) errors, multipath errors, and systematic errors in UWB range values. To constrain the impacts of these mentioned errors on UWB

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Baskoro, Farid, Miftahur Rohman, Dimas Arya, and Aristyawan Putra. "Optimizing Stability of Ultrasonic Sensor Readings: Study on Moving Average Filter Parameter Selection." JOURNAL ZETROEM 7, no. 1 (2025): 59–65. https://doi.org/10.36526/ztr.v7i1.3603.

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Moving average filter is a signal processing method used to reduce fluctuations or noise in data by taking the average of the most recent values. This filter works by taking the n most recent values in the data and calculating the average. This research investigates the effect of the n parameter value in the moving average filter on the stability of ultrasonic sensor readings regarding object distance. It was found that the value of n had a significant impact on the stability of the results. Using n = 20 produces a stable graph of distance values with minimal fluctuations, while n = 10 reduces

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