Academic literature on the topic 'Savitzky-Golay filter'

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Journal articles on the topic "Savitzky-Golay filter"

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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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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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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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Dissertations / Theses on the topic "Savitzky-Golay filter"

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Rakk, Adrian. "Automatically measuring the resistive loss of a transformer : A project in cooperation with Alstom Power Sweden." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10791.

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In order to develop more economical and ecologically friendly transformers it is necessary to know the losses throughout the product development process. There are several losses related to transformers, but in this particular case the focus will be on the resistive loss of the transformer. In order to measure this loss first the resonant frequency of the transformer is determined. Since at resonance the secondary side of the transformer is considered to be purely resistive. The aim of this paper is to design and build a closed loop measurement system that is able to perform this task.
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Garla, Venkatakrishnaiah Sharath Chandra, and Harivinay Varadaraju. "Validation of Black-and-White Topology Optimization Designs." Thesis, Linköpings universitet, Mekanik och hållfasthetslära, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174807.

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Topology optimization has seen rapid developments in its field with algorithms getting better and faster all the time. These new algorithms help reduce the lead time from concept development to a finished product. Simulation and post-processing of geometry are one of the major developmental costs. Post-processing of this geometry also takes up a lot of time and is dependent on the quality of the geometry output from the solver to make the product ready for rapid prototyping or final production. The work done in this thesis deals with the post-processing of the results obtained from topology op
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Schettino, Bruno Montesano. "Método para detecção e compensação dos efeitos causados pela saturação dos TCs de proteção com meios adaptativos para mitigação da influência do ruído e dos desvios de frequência." Universidade Federal de Juiz de Fora, 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/1142.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-04-12T19:44:42Z No. of bitstreams: 1 brunomontesanoschettino.pdf: 4192681 bytes, checksum: 0df0705f39a6ff58697ec7dc00759256 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-04-24T03:29:36Z (GMT) No. of bitstreams: 1 brunomontesanoschettino.pdf: 4192681 bytes, checksum: 0df0705f39a6ff58697ec7dc00759256 (MD5)<br>Made available in DSpace on 2016-04-24T03:29:36Z (GMT). No. of bitstreams: 1 brunomontesanoschettino.pdf: 4192681 bytes, checksum: 0df0705f39a6ff58697ec7dc00759256 (MD5) Pr
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CHEN, YEN-JU, and 陳彥儒. "Parameter Optimization Strategy for the Savitzky-Golay Smoothing Filter in Spectral Signal Processing." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/89958617230071057496.

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碩士<br>國立臺灣科技大學<br>自動化及控制研究所<br>100<br>Measurement of the spectrum is susceptible to noise impact easily, therefore, when the signal slightly changes, it will be misunderstand as noise, causing signal distortion, thus, the noise filter is an important job, initial input spectral signal can be classified into line spectrum, broad-band spectrum, mixed the broad-band spectrum and line spectrum, line spectrum uses the Gaussian fitting, the broad-band spectrum uses S-G filter for filtering, the S-G filter parameters uses the FOA algorithm to find the optimal parameters automatically, then find each
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Chen, Guan-Cheng, and 陳冠呈. "Savitzky-Golay digital filter method for determination unknown thermal boundary of a 2D hollow cylinder." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/13315644391918197723.

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碩士<br>國立中興大學<br>應用數學系所<br>102<br>The purpose of this study aims to predict the thermal boundary of hollow cylinders by using numerical method. First, use second-order finite difference method to make heat equation discretization, and collocate with Savitzky-Golay digital filter to smooth the measurement errors, caused by the interfered temperature, to reduce errors. Then, calculate the boundary condition with backflush. In the end, calculate the empirical formula for the boundary with polynomial regression. In this study, the research focuses on doing inverse method in the conditions of
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Menon, Seeram V. "Savitzky-Golay Filters and Application to Image and Signal Denoising." Thesis, 2015. http://etd.iisc.ac.in/handle/2005/3844.

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We explore the applicability of local polynomial approximation of signals for noise suppression. In the context of data regression, Savitzky and Golay showed that least-squares approximation of data with a polynomial of fixed order, together with a constant window length, is identical to convolution with a finite impulse response filter, whose characteristics depend entirely on two parameters, namely, the order and window length. Schafer’s recent article in IEEE Signal Processing Magazine provides a detailed account of one-dimensional Savitzky-Golay (SG) filters. Drawing motivation from this i
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Menon, Seeram V. "Savitzky-Golay Filters and Application to Image and Signal Denoising." Thesis, 2015. http://etd.iisc.ernet.in/2005/3844.

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We explore the applicability of local polynomial approximation of signals for noise suppression. In the context of data regression, Savitzky and Golay showed that least-squares approximation of data with a polynomial of fixed order, together with a constant window length, is identical to convolution with a finite impulse response filter, whose characteristics depend entirely on two parameters, namely, the order and window length. Schafer’s recent article in IEEE Signal Processing Magazine provides a detailed account of one-dimensional Savitzky-Golay (SG) filters. Drawing motivation from this i
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Krishnan, Sunder Ram. "Optimum Savitzky-Golay Filtering for Signal Estimation." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3293.

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Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the denoising problem as one of estimating the underlying clean signal from noisy measurements by minimizing a risk corresponding to a chosen loss function. Our goal is to incorporate perceptually-motivated loss functions wherever applicable, as in the case of speech enhancement, with the squared error loss being considered for the other scenarios. Since the true risks are observed t
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Krishnan, Sunder Ram. "Optimum Savitzky-Golay Filtering for Signal Estimation." Thesis, 2013. http://hdl.handle.net/2005/3293.

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Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the denoising problem as one of estimating the underlying clean signal from noisy measurements by minimizing a risk corresponding to a chosen loss function. Our goal is to incorporate perceptually-motivated loss functions wherever applicable, as in the case of speech enhancement, with the squared error loss being considered for the other scenarios. Since the true risks are observed t
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Ochoa, Mayorga Victor Manuel. "Geometric approach to multi-scale 3D gesture comparison." Phd thesis, 2010. http://hdl.handle.net/10048/1530.

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The present dissertation develops an invariant framework for 3D gesture comparison studies. 3D gesture comparison without Lagrangian models is challenging not only because of the lack of prediction provided by physics, but also because of a dual geometry representation, spatial dimensionality and non-linearity associated to 3D-kinematics. In 3D spaces, it is difficult to compare curves without an alignment operator since it is likely that discrete curves are not synchronized and do not share a common point in space. One has to assume that each and every single trajectory in the space is unique
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Book chapters on the topic "Savitzky-Golay filter"

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Goyal, Sonal, Navdeep Yadav, Asha Rani, and Vijander Singh. "Feature Preserving Regularized Savitzky–Golay Filter for Ultrasonic Images." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0751-9_99.

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Dombi, József, and Adrienn Dineva. "Adaptive Multi-round Smoothing Based on the Savitzky-Golay Filter." In Soft Computing Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62521-8_38.

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Li, Manman, and Junming Liu. "Reconstructing Vegetation Temperature Condition Index Based on the Savitzky–Golay Filter." In Computer and Computing Technologies in Agriculture IV. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18354-6_74.

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Roopa, C. K., and B. S. Harish. "An Empirical Evaluation of Savitzky-Golay (SG) Filter for Denoising ST Segment." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9059-2_3.

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Li, Wenjun. "Erratum: The Application of Savitzky-Golay Filter on Optical Measurement of Atmospheric Compositions." In Electrical Engineering and Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_134.

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Li, Wenjun. "Retracted: The Application of Savitzky-Golay Filter on Optical Measurement of Atmospheric Compositions." In Electrical Engineering and Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_58.

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Kim, Jeong-Hwan, Gyeo-Wun Jeung, Jun-Woo Lee, and Kyeong-Seop Kim. "Performance Evaluation of a Two-Dimensional Savitzky-Golay Filter for Image Smoothing Applications." In Electronics, Communications and Networks V. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0740-8_35.

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Raheja, Nisha, and Amit Kumar Manoacha. "Wavelet and Savitzky–Golay Filter-Based Denoising of Electrocardiogram Signal: An Improved Approach." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2271-0_27.

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Azami, Hamed, Morteza Saraf, and Karim Mohammadi. "A New Signal Segmentation Approach Based on Singular Value Decomposition and Intelligent Savitzky-Golay Filter." In Artificial Intelligence and Signal Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10849-0_22.

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Chui, Kwok Tai, Jackson Tsz Wah Chan, Ramidayu Yousuk, Lap-Kei Lee, and Fu Lee Wang. "Enhancing a Probabilistic Auto-regressive Model with Gaussian Noise and Savitzky–Golay Filter for the Data Generation of Small-Scale Education Datasets." In Communications in Computer and Information Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-96-0205-6_17.

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Conference papers on the topic "Savitzky-Golay filter"

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Kim, Su-Jin, and Sung-Yoon Jung. "Blood Glucose Prediction Based on Kalman Filter with a Savitzky-Golay Filter." In 2024 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2024. https://doi.org/10.1109/icce-asia63397.2024.10773957.

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Roncolini, Francesca, and Giuseppe Quaranta. "Manned-Unmanned Teaming Applied To HEMS Missions: A Path Planning Approach Based On The Pilot's Workload Assessment." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1213.

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This paper presents a path planning concept based on the Manned-Unmanned Teaming (MUM-T) between the helicopter and a drone. The drone flies ahead of the helicopter to detect possible unexpected obstacles in the mission area and sends the data to the helicopter. The path of the helicopter is automatically replanned to avoid the meteorological and physical obstacles detected by the drone. The path planning is based on the Rapidly-exploring Random Tree (RRT) and the Bidirectional Rapidly-exploring Random Tree (BiRRT) algorithms. The reference trajectory is planned by means of the RRT algorithm a
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Llanos, E., P. Adillon, S. Sarmiento, J. Tabares, and S. Etcheverry. "Savitzky-Golay-filter-based Phase Recovery for CV-QKD." In Optical Fiber Communication Conference. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.m4h.2.

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A Savitzky-Golay filter (SGF) is employed to reduce the excess noise introduced by a pilot-tone-based phase recovery in CV-QKD. Results show an improvement of 29.2% in the secret key rate at 10.9 km when the SGF is used.
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Halder, Amiya, Souvik Dutta, Apurba Sarkar, and Pritam Bhattacharya. "Contrast Enhancement Using Savitzky Golay Filter Convolution Coefficients." In 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT). IEEE, 2018. http://dx.doi.org/10.1109/eait.2018.8470431.

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Chen, Dali, Dingyu Xue, and YangQuan Chen. "Digital Fractional Order Savitzky-Golay Differentiator and Its Application." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47864.

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Firstly the one-dimension digital fractional order Savitzky-Golay differentiator (1-D DFOSGD), which generalizes the Savitzky-Golay filter from the integer order to the fractional order, is proposed to estimate the fractional order derivative of the noisy signal. The polynomial least square fitting technology and the Riemann-Liouville fractional order derivative definition are used to ensure robust and accuracy. Experiments demonstrate that 1-D DFOSGD can estimate the fractional order derivatives of both ideal signal and noisy signal accurately. Secondly, the two-dimension DFOSGD is obtained f
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Wayt, Howard J., and Taufiquar R. Khan. "Integrated Savitzky-Golay Filter from Inverse Taylor Series Approach." In 2007 15th International Conference on Digital Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icdsp.2007.4288597.

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Sunori, Sandeep Kumar, Mehul Manu, Amit Mittal, and Pradeep Juneja. "Savitzky-Golay Filter Design for Removing Noise from EEG Signal." In 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA). IEEE, 2023. http://dx.doi.org/10.1109/icidca56705.2023.10100215.

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Wang, Xiaoxiong, Mingyang Pan, and Chunxiao Xia. "Water Level Data Preprocessing Method Based on Savitzky-Golay Filter." In Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/msbda-19.2019.44.

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Li, Meihong, Li Lv, and Bihui Yu. "Tool Condition Monitoring Using Wavelet Analysis with Savitzky-Golay Filter." In 2022 11th International Conference of Information and Communication Technology (ICTech). IEEE, 2022. http://dx.doi.org/10.1109/ictech55460.2022.00097.

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Rogan, Ivana D., and Olivera R. Pronic-Rancic. "Forecasting the volume of postal services using Savitzky-Golay filter modification." In 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). IEEE, 2021. http://dx.doi.org/10.1109/icest52640.2021.9483459.

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