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Journal articles on the topic 'Savitzky-Golay filter'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

PAMBUDI, WAHYU SETYO, MELLIANTO INDRAWAN, RIZA AGUNG FIRMANSYAH, AKHMAD FAHRUZI, and TITIEK SUHETA. "Implementasi Savitzky Golay Filter pada Sistem Wireless Odometer untuk Informasi Perawatan Kendaraan." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 12, no. 3 (2024): 582. http://dx.doi.org/10.26760/elkomika.v12i3.582.

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ABSTRAKPerawatan kendaraan berkala berdasarkan jarak tempuh menggunakan wireless odometer merupakan solusi untuk memberikan informasi kepada pemilik kendaraan. Penelitian sebelumnya menunjukkan bahwa wireless odometer memiliki kelemahan, yaitu pembacaan sensornya memiliki error sebesar 13,2%. Hal ini menjadi kendala jika digunakan untuk mengukur jarak tempuh kendaraan bermotor. Upaya untuk memperbaiki kekurangan ini perlu dilengkapi dengan filter digital. Pada penelitian ini, metode Savitzky Golay Filter digunakan untuk membaca sensor pada Wireless Odometer. Hasil pengujian menunjukkan bahwa p

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Suescún-Díaz, Daniel, Héctor F. Bonilla-Londoño, and Jorge H. Figueroa-Jimenez. "Savitzky–Golay filter for reactivity calculation." Journal of Nuclear Science and Technology 53, no. 7 (2015): 944–50. http://dx.doi.org/10.1080/00223131.2015.1082949.

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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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Hussein, Zahraa A., and Hareth S. Mahdi. "Improving Radio Signal from Baghdad University Radio Telescope Using the Savitzky-Golay Filter." Iraqi Journal of Physics 22, no. 3 (2024): 60–66. http://dx.doi.org/10.30723/ijp.v22i3.1274.

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Astronomical radio observations from a small radio telescope suffer from various types of noise. Hence, astronomers continuously search for new techniques to eliminate or reduce such noise and obtain more accurate results. This research investigates the impact of implementing the Savitzky-Golay filter on enhancing radio observation signals retrieved from the Baghdad University Radio Telescope (BURT). Observations from BURT were carried out for different Galactic coordinates, and then a MATLAB code was written and used to implement the Savitzky-Golay filter for the collected data. This process

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Aleixo, Renato R., Leandro R. M. Silva, Carlos A. Duque, and Marcelo A. A. Lima. "Micro-PMU based on Savitzky–Golay filter." IET Generation, Transmission & Distribution 14, no. 11 (2020): 2092–99. http://dx.doi.org/10.1049/iet-gtd.2019.1395.

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Istiqomah, Nurul, Mike Yuliana, and Tri Budi Santoso. "Mechanism of Reciprocity Channel Probing Improvement on LoRaWAN Using Savitzky Golay Filter." Jurnal Komputer Terapan, Vol. 8 No. 1 (2022) (June 26, 2022): 168–77. http://dx.doi.org/10.35143/jkt.v8i1.5319.

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Pada komunikasi Wireless seperti LoRa perlu adanya pembangkitan kunci untuk pengamanan data. Hal ini dilakukan agar data yang dikirimkan tidak mudah di serang oleh attacker. Salah satu cara mendapatkan kunci yang tepat adalah dengan pengkondisian nilai koefisien korelasi RSSI yang tinggi. Pada penelitian ini dibuat sebuah sistem untuk meningkatkan Reciprocity Channel Probing agar didapatkan nilai koefisien korelasi yang tinggi. Sistem dirancang dengan menggunakan metode Savitzky Golay Filter. Pengujian dilakukan pada dua kondisi yaitu indoor dan outdoor, dan dengan menggunakan nilai Spreading

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Schettino, Bruno M., Carlos A. Duque, and Paulo M. Silveira. "Current-Transformer Saturation Detection Using Savitzky-Golay Filter." IEEE Transactions on Power Delivery 31, no. 3 (2016): 1400–1401. http://dx.doi.org/10.1109/tpwrd.2016.2521327.

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8

Schafer, Ronald. "What Is a Savitzky-Golay Filter? [Lecture Notes]." IEEE Signal Processing Magazine 28, no. 4 (2011): 111–17. http://dx.doi.org/10.1109/msp.2011.941097.

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9

Ochieng, Peter Juma, Zoltán Maróti, József Dombi, Miklós Krész, József Békési, and Tibor Kalmár. "Adaptive Savitzky–Golay Filters for Analysis of Copy Number Variation Peaks from Whole-Exome Sequencing Data." Information 14, no. 2 (2023): 128. http://dx.doi.org/10.3390/info14020128.

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Copy number variation (CNV) is a form of structural variation in the human genome that provides medical insight into complex human diseases; while whole-genome sequencing is becoming more affordable, whole-exome sequencing (WES) remains an important tool in clinical diagnostics. Because of its discontinuous nature and unique characteristics of sparse target-enrichment-based WES data, the analysis and detection of CNV peaks remain difficult tasks. The Savitzky–Golay (SG) smoothing is well known as a fast and efficient smoothing method. However, no study has documented the use of this technique

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Ochieng, Peter Juma, Zoltán Maróti, József Dombi, Miklós Krész, József Békési, and Tibor Kalmár. "Adaptive Savitzky–Golay Filters for Analysis of Copy Number Variation Peaks from Whole-Exome Sequencing Data." Information 14, no. 2 (2023): 128. https://doi.org/10.3390/info14020128.

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Copy number variation (CNV) is a form of structural variation in the human genome that provides medical insight into complex human diseases; while whole-genome sequencing is becoming more affordable, whole-exome sequencing (WES) remains an important tool in clinical diagnostics. Because of its discontinuous nature and unique characteristics of sparse target-enrichment-based WES data, the analysis and detection of CNV peaks remain difficult tasks. The Savitzky–Golay (SG) smoothing is well known as a fast and efficient smoothing method. However, no study has documented the use of this tech

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Zhao, Li Hua, and Xue Qing Xu. "Detection of Weak Magnetic Anomaly Signal Using EMD." Advanced Materials Research 926-930 (May 2014): 1779–82. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1779.

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With the problem of magnetic anomaly signal in low SNR, we using empirical mode decomposition (EMD) algorithm and Savitzky-Golay filter to solve weak magnetic anomaly signal in noisy environment detection problem. With the EMD, the weak magnetic anomaly signal can be decomposed into different numbers of sub-signals called intrinsic mode functions (IMFs). The IMFs include signals different frequency component from high to low. Recover the signal with IMFs which correlation coefficient is low with noise signal and smooth the signal with Savitzky-Golay filter. The proposed method is verified by s

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Jalab, Hamid A., and Rabha W. Ibrahim. "Texture Enhancement Based on the Savitzky-Golay Fractional Differential Operator." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/149289.

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Texture enhancement for digital images is the most important technique in image processing. The purpose of this paper is to design a texture enhancement technique using fractional order Savitzky-Golay differentiator, which leads to generalizing the Savitzky-Golay filter in the sense of the Srivastava-Owa fractional operators. By employing this generalized fractional filter, texture enhancement is introduced. Consequently, it calculates the generalized fractional order derivative of the given image using the sliding weight window over the image. Experimental results show that the operator can e

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Syahrial, Syahrial, Melinda Melinda, Junidar Junidar, Safrizal Razali, and Zulhelmi Zulhelmi. "Application of the Savitzky-Golay filter in multi-spectral signal processing." Sriwijaya Electrical and Computer Engineering Journal 1, no. 1 (2024): 9–19. http://dx.doi.org/10.62420/selco.v1i1.5.

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Multi-spectral signals are the result of the interaction between electromagnetic energy and the test material, which is then displayed by the signal fluctuation pattern of the test material. Signal fluctuations are inaccuracies in the peak amplitude of a signal caused by noise in the data. This fluctuation pattern reflects the properties of the test material, especially in this case H2O. To overcome this problem, it is necessary to use the right filter to smooth the signal and reduce the noise in the data so that the fluctuation pattern obtained is clearer and more accurate. This research invo

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Hossea, Jordan H., and Kenedy Greyson. "Smoothing of the Noisy Lithium-ion Battery Surface Temperature Data Based on Savitzky–Golay (SG) Filter." East African Journal of Engineering 7, no. 1 (2024): 262–71. http://dx.doi.org/10.37284/eaje.7.1.2135.

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As the charging current and surrounding temperatures rise concurrently in an electric vehicle's (EV) battery pack, the battery temperature increases abruptly beyond safe limits. The battery is susceptible to triggering thermal runaway at higher temperatures, leading to battery damage and even an explosion. The control system depends on these measurement data from the sensors to prevent dangerous situations and maximize the performance and cycle life of batteries. However, traditional noisy temperature measurement sensors in a real application, such as thermistors and thermocouples, are extensi

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Nozato, Hideaki, Thomas Bruns, Henrik Volkers, and Akihiro Oota. "A study of Savitzky-Golay filters for derivatives in primary shock calibration." ACTA IMEKO 2, no. 2 (2014): 41. http://dx.doi.org/10.21014/acta_imeko.v2i2.62.

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This manuscript reports the result of an investigation into two types of digital filters for numerical differentiation of the displacement signal in the case of primary shock calibration of accelerometers. The first is a difference method with a 4<sup>th</sup>-order Butterworth low-pass (4<sup>th</sup> BW) filter; the other is a Savitzky-Golay (S-G) filter, which applies a moving polynomial approximation. The computational comparison was applied to low and high amplitude shocks using known excitation functions. Each sum of residuals was compared for the optimized condit

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Ivanova, Daniela, Vera Deneva, Dimitrina Zheleva-Dimitrova, et al. "Quantitative Characterization of Arnicae flos by RP-HPLC-UV and NIR Spectroscopy." Foods 8, no. 1 (2018): 9. http://dx.doi.org/10.3390/foods8010009.

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The possibility of applying near-infrared (NIR) spectroscopy to monitor 13 active components (phenolic acids, flavonoids, and sesquiterpene lactones) in Arnicae flos was studied. The preprocessing of the spectra were performed by using the conventional Golay-Savitzky procedure and the newly developed step-by-step filter. The results obtained show that the step-by-step filter derivatives provide a better signal-to-noise ratio at a lower convolution window. Better calibration for the content of protocatechuic acid, chlorogenic acid, caffeic acid, p-cumaric acid, ferulic acid, isoquercitrin, and

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Chinomso, Maduakolam Francis, Samson Dauda Yusuf, Ibrahim Umar, and Abdullahi Abubakar Mundi. "Analysis of Savitzky-Golay Filter for Electrocardiogram De-Noising Using Daubechies Wavelets." EDUCATUM Journal of Science, Mathematics and Technology 9, no. 2 (2022): 113–28. http://dx.doi.org/10.37134/ejsmt.vol9.2.13.2022.

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Electrocardiogram (ECG) examination is of great importance in medical diagnosis of the cardiac disease, but wrong interpretation due to noise interference in the signal could be dangerous as this may lead to wrong diagnoses of patient’s heart condition. De-noising helps to reduce the noise level for a better interpretation of the signals. In this study, an analysis of Savitzky-Golay (S-G) filter for ECG de-noising using Daubechies wavelets has been carried out using MATLAB version 2015a. Noisy ECG signals downloaded from physionet.org under MIT-BIH arrhythmia database was de-noised using S-G f

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Maduakolam, Francis Chinomso, Samson Dauda Yusuf, and Ibrahim Umar. "Analysis of Savitzky-Golay Filter for Electrocardiogram De-Noising Using Daubechies Wavelets." ASEANA: Science and Education Journal, no. 1 (December 29, 2021): 34–48. https://doi.org/10.53797/aseana.v1i2.3.2021.

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Electrocardiogram (ECG) examination is of great importance in medical diagnosis of the cardiac disease, but wrong interpretation due to noise interference in the signal could be dangerous as this may lead to wrong diagnoses of patient’s heart condition. De-noising helps to reduce the noise level for a better interpretation of the signals. In this study, an analysis of Savitzky-Golay (S-G) filter for ECG de-noising using Daubechies wavelets has been carried out using MATLAB version 2015a. Noisy ECG signals downloaded from physionet.org under MIT-BIH arrhythmia database was de-noised using S-G f

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Vitliemov, Venko G., Ivelin V. Ivanov, and Ivan A. Loukanov. "Bi-Criteria Smoothing of Data by Savitzky-Golay Filter." IOSR Journal of Mechanical and Civil Engineering 13, no. 04 (2016): 109–13. http://dx.doi.org/10.9790/1684-130402109113.

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Kawala-Sterniuk, Aleksandra, Michal Podpora, Mariusz Pelc, et al. "Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes." Sensors 20, no. 3 (2020): 807. http://dx.doi.org/10.3390/s20030807.

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This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics. The EEG data are very prone to the occurrence of various internal and external artifacts and signal distortions. In this paper, three types of smoothing filters were compared: smooth filter, median filter and Savitzky–Golay filter. The authors of this paper compared those filters and proved their usefulness, as they made the analyzed data more legible for diagnostic pur

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Li, Yan, Hua Jun Liu, Guang Lang Bian, and Miao Hui Liu. "Aerocraft Real-Time Measured Data Processing Method Based on Combined Filtering." Applied Mechanics and Materials 716-717 (December 2014): 983–86. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.983.

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To solve the problems that resulted from using a certain filtering method alone to process the real-time data measured on aerocraft, a new method combined filter and Savitzky-Golay smoothing filter is proposed to process the real-time measuring data, which could classify and segment the measured data of aerocraft trajectory according to its priority and time domain. It could provide useful principle and control procedure of combined filters on different conditions to improve the filter efficiency, and the combined filtering results meet the needs of aerocraft real-time data processing accuracy

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Osei-Poku, Louis, Long Tang, Wu Chen, and Chen Mingli. "Evaluating Total Electron Content (TEC) Detrending Techniques in Determining Ionospheric Disturbances during Lightning Events in A Low Latitude Region." Remote Sensing 13, no. 23 (2021): 4753. http://dx.doi.org/10.3390/rs13234753.

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Total Electron Content (TEC) from Global Navigation Satellite Systems (GNSS) is used to ascertain the impact of space weather events on navigation and communication systems. TEC is detrended by several methods to show this impact. Information from the detrended TEC may or may not necessarily represent a geophysical parameter. In this study, two commonly used detrending methods, Savitzky–Golay filter and polynomial fitting, are evaluated during thunderstorm events in Hong Kong. A two-step approach of detection and distinguishing is introduced alongside linear correlation in order to determine t

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MOHGUEN, WAHIBA, and RAÏS EL’HADI BEKKA. "Fast Ensemble Empirical Mode Decomposition Using the Savitzky Golay filter." Algerian Journal of Signals and Systems 1, no. 1 (2021): 79–86. http://dx.doi.org/10.51485/ajss.v1i1.21.

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Empirical mode decomposition (EMD) is a powerful algorithm proposed to analysis of nonlinear and non-stationary signals. The phenomenon of mode mixing is one of the major disadvantages of the EMD. The Ensemble EMD (EEMD) was introduced to eliminate the mode-mixing effect. The principle of EEMD is to add additional white noise into the signal with many trials. The noise in each trial is different; and the added noise can be completely cancelled out on average, if the number of trials is very high. The number of trials is a high computational load. The improvement on computational efficiency of

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Liu, Yanping, Bo Dang, Yue Li, Hongbo Lin, and Haitao Ma. "Applications of Savitzky-Golay Filter for Seismic Random Noise Reduction." Acta Geophysica 64, no. 1 (2016): 101–24. http://dx.doi.org/10.1515/acgeo-2015-0062.

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Cao, Ruikai, Yixuan Sheng, Anqin Dong, and Honghai Liu. "Design of a Savitzky-Golay Filter-Based vEMG-FES System." IEEE Transactions on Neural Systems and Rehabilitation Engineering 33 (2025): 610–19. https://doi.org/10.1109/tnsre.2025.3535639.

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Acharya, Deepshikha, Asha Rani, Shivangi Agarwal, and Vijander Singh. "Application of adaptive Savitzky–Golay filter for EEG signal processing." Perspectives in Science 8 (September 2016): 677–79. http://dx.doi.org/10.1016/j.pisc.2016.06.056.

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Luo, Jianwen, Kui Ying, and Jing Bai. "Savitzky–Golay smoothing and differentiation filter for even number data." Signal Processing 85, no. 7 (2005): 1429–34. http://dx.doi.org/10.1016/j.sigpro.2005.02.002.

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Samann, Fars, and Thomas Schanze. "An efficient ECG Denoising method using Discrete Wavelet with Savitzky-Golay filter." Current Directions in Biomedical Engineering 5, no. 1 (2019): 385–87. http://dx.doi.org/10.1515/cdbme-2019-0097.

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AbstractElectrocardiogram (ECG) is a widely used tool for the early diagnosis and evaluation of cardiac disorders. The ECG signal is usually distorted during recording by different types of noise which may lead to incorrect diagnosis. Therefore, clear ECG signals are required to support good cardiac disorder diagnosing. In this paper, an efficient ECG denoising method using combined discrete wavelet with Savitzky-Golay (S-G) filter is proposed. The performance of S-G filter is studied in terms of polynomial degree and frame size, i.e. signal section. In addition, the performance of denoising w

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Halder, Amit, Most Rowshan Ara Khandaker, Antora Scholastica Gomes, Md Riyad Tanshen, and Md Anas Rahman. "Performance Analysis of FIR Adaptive Filter Algorithms for Denoising Adult ECG Signals: A Comparative Study." Middle East Journal of Applied Science & Technology 06, no. 02 (2023): 131–43. http://dx.doi.org/10.46431/mejast.2023.6215.

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This paper describes a unique study that uses multiple FIR adaptive filter algorithms to denoise adult electrocardiogram (ECG) data. The study looks at how power line interference, external electromagnetic fields, random body motions, and breathing impact ECG measurement accuracy. The article takes a fresh look at Savitzky-Golay filtering techniques by implementing and evaluating them inside the FIR adaptive filter architecture. Matlab is used to evaluate the performance of the Affine projection FIR adaptive filter (AP), Direct-form Normalized least-mean-square FIR adaptive filter (NLMS), and

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Melo Junior, Gilberto de, Sílvio Leão Vieira, Geovanne Pereira Furriel, Renato Milhomem de Oliveira Filho, Brunna Carolinne Rocha Silva, and Jane Sousa Naves. "Pré-processamento de sinais Eletro-oculográficos (EOG)." Research, Society and Development 10, no. 4 (2021): e28410414221. http://dx.doi.org/10.33448/rsd-v10i4.14221.

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Este trabalho visa estudar sinais eletrooculográficos (EOG) provenientes da aquisição, incluindo janelamento, e aplicação de filtros digitais para processamento e análise. EOG é um sinal que mede e registra o potencial de repouso da retina do olho. Aqui, desenvolvemos um algoritmo para detectar sinais de movimento do globo ocular relativos a eletrodos fixados na face. Os sinais bioelétricos foram coletados de 40 voluntários adultos saudáveis. A metodologia aplicada segue as normas e diretrizes internacionais para aquisição de dados de sinais de ECG e com a anuência do Comitê de Ética em Pesqui

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Baihaqi, Muhammad Yeza, Christoforus Williem Deo Lumoindong, and Vincent Vincent. "Simulasi Perbandingan Filter Savitzky Golay dan Filter Low Pass Butterworth pada Orde Ketiga Sebagai Pembatal Kebisingan." KONSTELASI: Konvergensi Teknologi dan Sistem Informasi 1, no. 2 (2021): 226–32. http://dx.doi.org/10.24002/konstelasi.v1i2.4294.

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Nowadays, the Information and Communication Technology (ICT) is rapidly developed. It also trigs the development of other research field such as social science research. But in the development of it, there are a continues problem that has been discovered over 30 years, noise. Over the years, many ways have been created for example Savitzky – Golay (SG) and Low Pass (LP) Butterworth filter. In order to use SG filter, two parameters which are the order and the window length should be determined by trial and error. On the other hand, LP Butterworth filter also needs two parameters to be operated

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Stone, David C. "Application of median filtering to noisy data." Canadian Journal of Chemistry 73, no. 10 (1995): 1573–81. http://dx.doi.org/10.1139/v95-195.

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The properties and application of the median filter are investigated using both simulated and real data for signals evolving with time. Comparison is made with existing numerical techniques for drift compensation and noise reduction in analytical measurements such as the moving average and Savitzky–Golay digital filters. The median filter provides a means for dealing with "spiky" noise and separating peaks from a slowly changing baseline, even when the exact nature of the drift and noise distribution is not known. Median filtering is a useful and complementary addition to existing digital filt

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Nahiyan, KM Talha, and Abdullah Al Amin. "Removal of ECG Baseline Wander using Savitzky-Golay Filter Based Method." Bangladesh Journal of Medical Physics 8, no. 1 (2017): 32–45. http://dx.doi.org/10.3329/bjmp.v8i1.33932.

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ECG (Electrocardiogram) is a measure of hearts electrical activity. As the body is a volume conductor, ECG signal can be recorded from the body surface. The signal while being recorded from the body surface gets corrupted by various types of noise or artifact. Among these, baseline wander is a type of noise that severely hampers the ECG signal. Baseline wander is particularly of very low frequency; it causes the ECG signal to deviate from its isoelectric line and causes the signal to ride on the lower frequency artifact. The proposed method is based on Savitzky-Golay filter, which is a moving

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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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Turton, B. C. H. "A novel variant of the Savitzky-Golay filter for spectroscopic applications." Measurement Science and Technology 3, no. 9 (1992): 858–63. http://dx.doi.org/10.1088/0957-0233/3/9/010.

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Rahman, Md Asadur, Mohd Abdur Rashid, and Mohiuddin Ahmad. "Selecting the optimal conditions of Savitzky–Golay filter for fNIRS signal." Biocybernetics and Biomedical Engineering 39, no. 3 (2019): 624–37. http://dx.doi.org/10.1016/j.bbe.2019.06.004.

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Peng, Hua-Fu, and Gao-Ming Huang. "Noisy blind source separation based on CEEMD and Savitzky-Golay filter." IOP Conference Series: Materials Science and Engineering 231 (September 2017): 012185. http://dx.doi.org/10.1088/1757-899x/231/1/012185.

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Kim, Donghoon, Sungwook Yang, and Sangchul Lee. "Rigid Body Inertia Estimation Using Extended Kalman and Savitzky-Golay Filters." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/2962671.

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Inertia properties of rigid body such as ground, aerial, and space vehicles may be changed by several occasions, and this variation of the properties influences the control accuracy of the rigid body. For this reason, accurate inertia properties need to be obtained for precise control. An estimation process is required for both noisy gyro measurements and the time derivative of the gyro measurements. In this paper, an estimation method is proposed for having reliable estimates of inertia properties. First, the Euler equations of motion are reformulated to obtain a regressor matrix. Next, the e

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Qi, Zuxuan, Xiaohong Wu, Yangjian Yang, Bin Wu, and Haijun Fu. "Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis." Foods 11, no. 5 (2022): 763. http://dx.doi.org/10.3390/foods11050763.

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In order to quickly, nondestructively, and effectively distinguish red jujube varieties, based on the combination of fuzzy theory and improved LDA (iLDA), fuzzy improved linear discriminant analysis (FiLDA) algorithm was proposed to classify near-infrared reflectance (NIR) spectra of red jujube samples. FiLDA shows performs better than iLDA in dealing with NIR spectra containing noise. Firstly, the portable NIR spectrometer was employed to gather the NIR spectra of five kinds of red jujube, and the initial NIR spectra were pretreated by standard normal variate transformation (SNV), multiplicat

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Gir, Ruchita, Lalit Jain, and Rajesh Rai. "Speckle Reduction of Synthetic Aperture Radar Images using Median Filter and Savitzky-Golay Filter." International Journal of Computer Applications 113, no. 11 (2015): 38–43. http://dx.doi.org/10.5120/19874-1877.

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Pawletko, Rafał. "Analysing Applicability Of Selected Methods To Smooth Indicator Diagrams Of Marine Medium-Speed Engine." Polish Maritime Research 22, no. 2 (2015): 55–61. http://dx.doi.org/10.1515/pomr-2015-0017.

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Abstract The article analyses the applicability of selected smoothing methods to smooth indicator diagram curves and to filter disturbances. An intermediate goal of the study was an attempt to extract disturbances recorded during pressure curve smoothing, which are believed to be a source of important diagnostic information. Within the framework of the reported analysis, a comparison was made between the moving average method, the Savitzky-Golay filter, and the frequency filtration method. The research was performed on a marine medium-speed engine Sulzer 3Al 25/30, which has a relatively long

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Suescún-Díaz, D., D. A. Rasero Causil, and J. H. Figueroa-Jimenez. "Adams-Bashforth-Moulton method with Savitzky-Golay filter to reduce reactivity fluctuations." Kerntechnik 82, no. 6 (2017): 674–77. http://dx.doi.org/10.3139/124.110842.

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Sa‐Ing, V., P. Vorasayan, N. C. Suwanwela, S. Auethavekiat, and C. Chinrungrueng. "Real‐time 3D ultrasound denoising based on adaptive regularisation Savitzky–Golay filter." Electronics Letters 53, no. 15 (2017): 1029–31. http://dx.doi.org/10.1049/el.2017.1669.

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Karmakar, Sayantani, and Supriya Karmakar. "Image enhancement by the combination of multivalued logic and Savitzky–Golay filter." International Journal of Electronics Letters 7, no. 3 (2018): 290–303. http://dx.doi.org/10.1080/21681724.2018.1494317.

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Kaur, Harjeet, and Raj ni. "ECG Signal Denoising with Savitzky-Golay Filter and Discrete Wavelet Transform (DWT)." International Journal of Engineering Trends and Technology 36, no. 5 (2016): 266–69. http://dx.doi.org/10.14445/22315381/ijett-v36p249.

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Tang, Liang, Zhongming Zhao, Ping Tang, and Haijun Yang. "SURE-based optimum-length S-G filter to reconstruct NDVI time series iteratively with outliers removal." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 02 (2019): 2050001. http://dx.doi.org/10.1142/s0219691320500010.

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Savitzky–Golay (S-G) filter is a method of local polynomial regression, and iterative filtering with S-G filter can be used to smooth out random noise and outliers of cloud noise in NDVI time series. It involves a continuous approximation to the upper envelope of NDVI time series. In this paper, the optimum-length of S-G filter was estimated based on Steinc’s unbiased risk estimator theory when S-G filtering was conducted iteratively, and the reconstruction result was presented. Reconstruction experiments on the simulated data and MODIS NDVI time series of the year 2010–2014 showed that the op

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Huang, Hui, Shiyan Hu, and Ye Sun. "A Discrete Curvature Estimation Based Low-Distortion Adaptive Savitzky–Golay Filter for ECG Denoising." Sensors 19, no. 7 (2019): 1617. http://dx.doi.org/10.3390/s19071617.

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Electrocardiogram (ECG) sensing is an important application for the diagnosis of cardiovascular diseases. Recently, driven by the emerging technology of wearable electronics, massive wearable ECG sensors are developed, which however brings additional sources of noise contamination on ECG signals from these wearable ECG sensors. In this paper, we propose a new low-distortion adaptive Savitzky-Golay (LDASG) filtering method for ECG denoising based on discrete curvature estimation, which demonstrates better performance than the state of the art of ECG denoising. The standard Savitzky-Golay (SG) f

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Huang, Jie, Tielin Shi, Bo Gong, Xiaoping Li, Guanglan Liao, and Zirong Tang. "Fitting an Optical Fiber Background with a Weighted Savitzky–Golay Smoothing Filter for Raman Spectroscopy." Applied Spectroscopy 72, no. 11 (2018): 1632–44. http://dx.doi.org/10.1177/0003702818785884.

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The Raman background arising from optical fiber materials poses a critical problem for fiber optic surface-enhanced Raman spectroscopy (SERS). A novel filter is developed to fit the optical fiber background from the measured SERS spectrum of the target sample. The general model of the filter is built by incorporating a weighted term of matching the similarity between the estimated background spectrum and the measured background spectrum into the classic Savitzky–Golay (SG) smoothing filter model. Through respectively selecting Euclidean cosine coefficient (ECos) and Pearson correlation coeffic

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Yuan, Chao, Xiaosen Ding, Henxiang Cheng, Lei Zhu, and Yilei Li. "Research on Denoising of GIS Ultra-High Frequency Partial Discharge Signal Based on VMD Combined with S-G Filter." Journal of Physics: Conference Series 2661, no. 1 (2023): 012006. http://dx.doi.org/10.1088/1742-6596/2661/1/012006.

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Abstract Given the problem that it is easy to receive thermal noise interference from the electronic circuit and equipment circuit of the detection system in the current feature frequency detection of Gas Insulated Switchgear (GIS) equipment, this paper proposes an ultra-high frequency (UHF) signal noise reduction method based on variational mode decomposition (VMD) combined with Savitzky-Golay (S-G) filter and tests it through simulation. By using VMD combine with the S-G filter method, the signal-to-noise ratio (SNR) of signals can be effectively improved and the interference of white noise

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Li, Feng, Liu Han, Zhu Liujun, Huang Yinyou, and Guo Song. "URBAN VEGETATION MAPPING BASED ON THE HJ-1 NDVI RECONSTRCTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 867–71. http://dx.doi.org/10.5194/isprs-archives-xli-b8-867-2016.

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HJ-1A/B NDVI (HJ NDVI) time-series data possess relatively high spatio-temporal resolution which is significant for the research on urban areas. However, its application is hindered by noise resulting from the restrictions of imaging quality and limits of the satellite platform. The NDVI noise reduction is necessary. Some noise-reduction techniques including the asymmetric Gaussian filter (AG), the double logistic filter (DL), the Savitzky-Golay (S-G) filter and the harmonic analysis (Hants) of NDVI time-series have been used to carry out the NDVI time series reconstruction, and based on the c

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