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Journal articles on the topic 'Baseline drift'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Иванов, Кирилл, Kirill Ivanov, Евгения Комарова, et al. "Meteor trail drift research based on baseline observations." Solar-Terrestrial Physics 5, no. 1 (2019): 77–81. http://dx.doi.org/10.12737/stp-51201911.

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We analyze the results of a rare long-lived quasisymmetric ellipsoidal-annular meteor trail recorded on November 18, 2017 by two optical all-sky cameras, spaced at a distance of 150 km. The analysis is based on astrometric processing results with the use of baseline measurement methods. We determine spatial-kinematic characteristics of the meteor trail, and find features of its evolution. The ignition and extinction heights of the meteor were in the range 75–120 km. The estimate of the meteor brightness gives the absolute magnitude value of about –7.3m. It is shown that the distribution of all

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2

Pan, Chao, Ruifu Zhang, Hao Luo, and Hua Shen. "Target-based algorithm for baseline correction of inconsistent vibration signals." Journal of Vibration and Control 24, no. 12 (2017): 2562–75. http://dx.doi.org/10.1177/1077546316689014.

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A target-based baseline correction algorithm that can directly assign acceleration/velocity/displacement values equal or close to preset target values is proposed in this study for correcting vibration acceleration signals with inconsistent initial velocities and displacements. Baseline shift or drift phenomena can arise for velocity and displacement values obtained by numerical integration of recorded acceleration signals using assumed initial values that are inconsistent with reality. Two indicators, the drift ratio and amplitude ratio, are also proposed to identify the degree of baseline dr

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3

Zhang, Feng, Xiaojun Tang, and Lin Li. "Origins of Baseline Drift and Distortion in Fourier Transform Spectra." Molecules 27, no. 13 (2022): 4287. http://dx.doi.org/10.3390/molecules27134287.

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The spectrum scanned by a Fourier transform spectrometer (FTIR) often has a baseline drift. However, baseline distortion rarely occurs in a laboratory owing to the insignificant effects of environmental vibrations and electromagnetic factors. Even if it occurs, the distorted spectrum can be manually eliminated. However, in a complex environment, especially after the long-term operation of a spectrometer, the scanned spectrum may be distorted to different degrees. Herein, the origins of spectral baseline drifts and distortions are analyzed and simulated using MATLAB; furthermore, a baseline cor

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Wang, Xiaoling, Yuanzhen Suo, Dan Wei, Hao He, Fan Wu, and Xunbin Wei. "Cell counting for in vivo flow cytometry signals with baseline drift." Journal of Innovative Optical Health Sciences 10, no. 03 (2017): 1750008. http://dx.doi.org/10.1142/s1793545817500080.

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In biomedical research fields, the in vivo flow cytometry (IVFC) is a widely used technology which is able to monitor target cells dynamically in living animals. Although the setup of IVFC system has been well established, baseline drift is still a challenge in the process of quantifying circulating cells. Previous methods, i.e., the dynamic peak picking method, counted cells by setting a static threshold without considering the baseline drift, leading to an inaccurate cell quantification. Here, we developed a method of cell counting for IVFC data with baseline drift by interpolation fitting,

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5

Pang, Yu, Lu Deng, Jin Zhao Lin, Zhang Yong Li, Guo Quan Li, and Qian Neng Zhou. "Removal Method of Baseline Drift from ECG Signals Based on Morphology Filter." Applied Mechanics and Materials 427-429 (September 2013): 1691–95. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1691.

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Baseline drift is the main noise of ECG signals which affects the detection accuracy so its removal plays a significantrole in the ECG signal preprocessing. Complex calculation and non-optimal signal processing cause problems of ineffective results and low real-time effects in traditional methods. This paper designs a new filter to remove baseline drift based on the theory of mathematical morphology, which is created by the geometric parameters of the ECG signal. Experiments show that the method can effectively remove the noise of baseline drift by simple computation and is helpful to improve

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Hodgson, Lisa, Peter Walker, Paul Maruff, David Darby, and Conor Gissane. "Annual Baseline Drift in Professional Rugby League Players." Medicine & Science in Sports & Exercise 49, no. 5S (2017): 219–20. http://dx.doi.org/10.1249/01.mss.0000517447.19244.31.

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Иванов, Кирилл, Kirill Ivanov, Евгения Комарова, et al. "Meteor trail drift research based on baseline observations." Solnechno-Zemnaya Fizika 5, no. 1 (2019): 100–106. http://dx.doi.org/10.12737/szf-51201911.

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We analyze the results of a rare long-lived quasisymmetric ellipsoidal-annular meteor trail recorded on November 18, 2017 by two optical all-sky cameras, spaced at a distance of 150 km. The analysis is based on astrometric processing results with the use of baseline measurement methods. We determine spatial-kinematic characteristics of the meteor trail, and find features of its evolution. The ignition and extinction heights of the meteor were in the range 75–120 km. The estimate of the meteor brightness gives the absolute magnitude value of about –7.3m. It is shown that the distribution of all

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8

Fedotov, A. A. "Baseline Drift Filtering for an Arterial Pulse Signal." Measurement Techniques 57, no. 1 (2014): 91–96. http://dx.doi.org/10.1007/s11018-014-0413-4.

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9

Barbara, Nathaniel, Tracey A. Camilleri, and Kenneth P. Camilleri. "A comparison of EOG baseline drift mitigation techniques." Biomedical Signal Processing and Control 57 (March 2020): 101738. http://dx.doi.org/10.1016/j.bspc.2019.101738.

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10

Hodgson, Lisa, Conor Gissane, P. Walker, Paul Maruff, and D. Darby. "Annual baseline drift in professional rugby league players." British Journal of Sports Medicine 51, no. 11 (2017): A46.2—A46. http://dx.doi.org/10.1136/bjsports-2016-097270.119.

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11

Sun, Jun Wei, and Ya Zhang. "Algorithm for Inhibition of Zero Drift." Advanced Materials Research 616-618 (December 2012): 2068–71. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2068.

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By elaborating the basic idea of eliminating zero drift with software, derives the algorithm to eliminate three zero drift, and deals with the zero drift sampled signal using MATLAB software program after analyzing the internal features of baseline of zero drift, the slope of the zero drift and step zero drift.

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12

Lin, Chin-Yi, Tzu-Liang (Bill) Tseng, and Tsung-Han Tsai. "A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing." Applied Sciences 15, no. 12 (2025): 6500. https://doi.org/10.3390/app15126500.

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The semiconductor industry currently lacks a robust, holistic method for detecting parameter drifts in wide-bandgap (WBG) manufacturing, where conventional fault detection and classification (FDC) practices often rely on static thresholds or isolated data modalities. Such legacy approaches cannot fully capture the intricate, multi-modal shifts that either gradually erode product quality or trigger abrupt process disruptions. To surmount these challenges, we present M2D2 (Multi-Machine and Multi-Modal Drift Detection), an end-to-end framework that integrates data preprocessing, baseline modelin

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13

Bhateja, Vikrant, Rishendra Verma, Rini Mehrotra, and Shabana Urooj. "A Non-Linear Approach to ECG Signal Processing using Morphological Filters." International Journal of Measurement Technologies and Instrumentation Engineering 3, no. 3 (2013): 46–59. http://dx.doi.org/10.4018/ijmtie.2013070104.

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Analysis of the Electrocardiogram (ECG) signals is the pre-requisite for the clinical diagnosis of cardiovascular diseases. ECG signal is degraded by artifacts such as baseline drift and noises which appear during the acquisition phase. The effect of impulse and Gaussian noises is randomly distributed whereas baseline drift generally affects the baseline of the ECG signal; these artifacts induce interference in the diagnosis of cardio diseases. The influence of these artifacts on the ECG signals needs to be removed by suitable ECG signal processing scheme. This paper proposes combination of no

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14

Wang, Dong Min, Qi Peng Lu, and Li Jun Yao. "Correction of Baseline Drifts due to the Pressure Changes between Attenuated Total Reflection Prism and Human Skin for Noninvasive Blood Glucose Sensing with Fourier Transform Infrared Spectroscopy." Advanced Materials Research 345 (September 2011): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amr.345.119.

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.For noninvasive blood sensing with attenuated total reflection (ATR)-Fourier Transform infrared spectroscopy(FTIR), the baseline of spectra human skin will drift because of the exitence of pressure changes between ATR prism and human skin . To correct the baseline drifts ,In the paper, the fingertips spectra in mid-infrared were recorded under the special conditions. A line equation was calculated using the last 14 spectra coupled with the linear regression analysis between the absorbance spectra at the 1035cm-1and the 950cm-1. And the corrected absorption intensities, after the removal of th

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15

Le, Dang Cao, Tan Hoang Nguyen, Nam Hoai Phan, and Quoc Minh Thai. "A new method of electrodes placement to improve QRS detection in real-time stress ECG acquisition." Science and Technology Development Journal 18, no. 2 (2015): 159–63. http://dx.doi.org/10.32508/stdj.v18i2.1088.

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In dynamic threshold method to detect QRS complex from ECG signal, especially in real-time application, there are two main issues: baseline drift and noise. This paper introduces an improved QRS complex detecting method using dynamic threshold algorithm combined with a new method of electrodes placement to minimize baseline drift and different types of noise in real-time ECG acquisition with moving patients. Our method proved to be more effective in detecting QRS complex with less error due to minimized baseline drift and noise in original ECG signal.

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16

Zhang, Lei, and Xiongwei Peng. "Time series estimation of gas sensor baseline drift using ARMA and Kalman based models." Sensor Review 36, no. 1 (2016): 34–39. http://dx.doi.org/10.1108/sr-05-2015-0073.

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Purpose – The purpose of this paper is to present a novel and simple prediction model of long-term metal oxide semiconductor (MOS) gas sensor baseline, and it brings some new perspectives for sensor drift. MOS gas sensors, which play a very important role in electronic nose (e-nose), constantly change with the fluctuation of environmental temperature and humidity (i.e. drift). Therefore, it is very meaningful to realize the long-term time series estimation of sensor signal for drift compensation. Design/methodology/approach – In the proposed sensor baseline drift prediction model, auto-regress

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17

Zhou, Nan Quan. "Study on Removing Baseline Drift in the Brain Blood Stream Signal Based on Cubic Spline Interpolation Technique." Key Engineering Materials 480-481 (June 2011): 862–67. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.862.

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The paper presents a new method to remove baseline drift in the brain blood stream signal based on cubic spline interpolation theory. Firstly, detect some characteristic points in the original signal, and then fit the drifting baseline based on the cubic spline interpolation technique. Finally the original signal minus the baseline is the steady signal of brain blood stream. Lots of simulation experiments and clinical tests had been done, and the baseline drift in LabVIEW software program was removed perfectly. Once the method to remove baseline drift is put in practice, its effect is good and

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18

Müller, Gerhard, and Giorgio Sberveglieri. "Origin of Baseline Drift in Metal Oxide Gas Sensors: Effects of Bulk Equilibration." Chemosensors 10, no. 5 (2022): 171. http://dx.doi.org/10.3390/chemosensors10050171.

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Metal oxide (MOX) gas sensors and gas sensor arrays are widely used to detect toxic, combustible, and corrosive gases and gas mixtures inside ambient air. Important but poorly researched effects counteracting reliable detection are the phenomena of sensor baseline drift and changes in gas response upon long-term operation of MOX gas sensors. In this paper, it is shown that baseline drift is not limited to materials with poor crystallinity, but that this phenomenon principally also occurs in materials with almost perfect crystalline order. Building on this result, a theoretical framework for th

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19

Tinati, Mohammad Ali, and Behzad Mozaffary. "A Wavelet Packets Approach to Electrocardiograph Baseline Drift Cancellation." International Journal of Biomedical Imaging 2006 (2006): 1–9. http://dx.doi.org/10.1155/ijbi/2006/97157.

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Baseline wander elimination is considered a classical problem. In electrocardiography (ECG) signals, baseline drift can influence the accurate diagnosis of heart disease such as ischemia and arrhythmia. We present a wavelet-transform- (WT-) based search algorithm using the energy of the signal in different scales to isolate baseline wander from the ECG signal. The algorithm computes wavelet packet coefficients and then in each scale the energy of the signal is calculated. Comparison is made and the branch of the wavelet binary tree corresponding to higher energy wavelet spaces is chosen. This

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20

Zhang, Ting, Steven N. Chillrud, Masha Pitiranggon, James Ross, Junfeng Ji, and Beizhan Yan. "Development of an approach to correcting MicroPEM baseline drift." Environmental Research 164 (July 2018): 39–44. http://dx.doi.org/10.1016/j.envres.2018.01.045.

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21

McManus, Christopher D., Ulrich Teppner, Dietrich Neubert, and Slawomir M. Lobodzinski. "Estimation and removal of baseline drift in the electrocardiogram." Computers and Biomedical Research 18, no. 1 (1985): 1–9. http://dx.doi.org/10.1016/0010-4809(85)90002-3.

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22

Zhang, Chao, Wen Wang, Yong Pan, Lina Cheng, Shoupei Zhai, and Xu Gao. "A two-stage method for real-time baseline drift compensation in gas sensors." Measurement Science and Technology 33, no. 4 (2022): 045108. http://dx.doi.org/10.1088/1361-6501/ac491f.

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Abstract Baseline drift caused by slowly changing environment and other instability factors affects significantly the performance of gas sensors, resulting in reduced accuracy of gas classification and quantification of the electronic nose. In this work, a two-stage method is proposed for real-time sensor baseline drift compensation based on estimation theory and piecewise linear approximation. In the first stage, the linear information from the baseline before exposure is extracted for prediction. The second stage continuously predicts changing linear parameters during exposure by combining t

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23

Wang, Yusen, Lei Zhang, Xue Qi, Xiaopeng Yang, and Qiulin Tan. "A Baseline Drift-Elimination Algorithm for Strain Measurement-System Signals Based on the Transformer Model." Applied Sciences 14, no. 11 (2024): 4447. http://dx.doi.org/10.3390/app14114447.

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Strain measurements are vital in engineering trials, testing, and scientific research. In the process of signal acquisition, baseline drift has a significant impact on the accuracy and validity of data. Traditional solutions, such as discrete wavelet transform and empirical mode decomposition, cannot be used in real-time systems. To solve this problem, this paper proposes a Transformer-based model to eliminate the drift in the signal. A self-attentive mechanism is utilized in the encoder of the model to learn the interrelationships between the components of the input signal, and captures the k

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24

DeWaele, Mark, Yoonbae Oh, Cheonho Park, et al. "A baseline drift detrending technique for fast scan cyclic voltammetry." Analyst 142, no. 22 (2017): 4317–21. http://dx.doi.org/10.1039/c7an01465a.

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25

Ivanov, Kirill, Evgeniya Komarova, and Sergey Yazev. "Studying the main characteristics of the Geminid meteor shower from baseline video observations in 2021." Solar-Terrestrial Physics 10, no. 4 (2024): 114–23. https://doi.org/10.12737/stp-104202413.

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The Geminid meteor shower has been studied using data obtained by the method of baseline video observations during the period from December 01, 2021 to December 17, 2021. The meteors were examined in the brightness range from –3m to 2m and with an angular track length of at least 2°; the sample size was 327 events. The behavior of the shower is considered in terms of the interacting DRG (December ρ-Geminids) and GEM (Geminids) branches, which are closely related to each other and share a common origin. The shower activity was ZHR=127, Flux=19 at the general maximum of DRG+GEM (λsol~261.8°) and

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26

Chen, Hao, Weiliang Xu, and Neil G. R. Broderick. "An Adaptive and Fully Automated Baseline Correction Method for Raman Spectroscopy Based on Morphological Operations and Mollification." Applied Spectroscopy 73, no. 3 (2018): 284–93. http://dx.doi.org/10.1177/0003702818811688.

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Baseline drift is a commonly identified and severe problem in Raman spectra, especially for biological samples. The main cause of baseline drift in Raman spectroscopy is fluorescence generated within the sample. If left untreated, it will affect the following qualitative or quantitative analysis. In this paper, an adaptive and fully automated baseline estimation algorithm based on iteratively averaging morphological opening and closing operations is presented. The proposed method is able to deal with different shapes and amplitudes of baselines. It is tested on both simulated and experimental

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Yang, Lanlan, Wei‐Chau Xie, Weiya Xu, and Binh‐Le Ly. "Generating Drift‐Free, Consistent, and Perfectly Spectrum‐Compatible Time Histories." Bulletin of the Seismological Society of America 109, no. 5 (2019): 1674–90. http://dx.doi.org/10.1785/0120190005.

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Abstract The focus of this article is on generating spectrum‐compatible acceleration, velocity, and displacement time histories for seismic analysis and design of engineering structures. If a generated acceleration time history is integrated to obtain the corresponding velocity and displacement time histories, it has been found that there are usually drifts in the resulting processes. Such drifts are due to overdeterminacy in the constants of integration. Baseline correction, although widely used, is not a suitable remedial measure to remove drift because it distorts the frequency content and

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Wang, Yan, Ji Fei Cai, Yang Zhang, Guang Li, and Rui Ming Fang. "Study on Acoustic Emission Detective Signal Restoration under Multifactor Interference." Applied Mechanics and Materials 329 (June 2013): 274–77. http://dx.doi.org/10.4028/www.scientific.net/amm.329.274.

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For solving signal restoration distortion affected by the signal spectrum composition changes and tested baseline drift, this papers methods mainly involve time-frequency energy analysis, wavelet soft threshold de-noising algorithm and baseline drift cancellation method. The result shows that these methods can effectively eliminate the interference of different micro-variable fault signals. The restored high-fidelity signals provide base for subsequent identification of fault reasons.

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Pfeifer, Sascha, Thomas Müller, Andrew Freedman, and Alfred Wiedensohler. "The influence of the baseline drift on the resulting extinction values of a cavity attenuated phase shift-based extinction monitor (CAPS PMex)." Atmospheric Measurement Techniques 13, no. 5 (2020): 2161–67. http://dx.doi.org/10.5194/amt-13-2161-2020.

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Abstract. The effect of the baseline drift on the resulting extinction values of three cavity attenuated phase shift-based extinction monitors (CAPS PMex) with different wavelengths and the respective correlation with NO2 was analysed for an urban background station. A drift of more than 0.8 Mm-1min-1 was observed for ambient air, with high probability caused by traffic-emissions-driven changes in carrier gas composition. The baseline drift leads to characteristic measurement artefacts for particle extinction. Artificial particle extinction values of approximately 4 Mm−1 were observed using a

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30

Yasue, Kenji, Hiraku Fuse, Satoshi Oyama, et al. "Quantitative analysis of the intra-beam respiratory motion with baseline drift for respiratory-gating lung stereotactic body radiation therapy." Journal of Radiation Research 63, no. 1 (2021): 137–47. http://dx.doi.org/10.1093/jrr/rrab098.

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Abstract This study aimed to quantitatively clarify the baseline drift for each respiratory cycle in two respiratory-gating methods using the intra-beam respiratory motion data of lung cancer patients. The residual motion and dose distribution were calculated based on intra-beam respiratory motion data with the baseline drift. To quantify the baseline drift $\Delta$ during irradiation, it was defined as the inclination between the detected expiration point and the expiration point in the next cycle in the anterior–posterior (AP), cranial–caudal (CC) and left–right (LR) directions obtained usin

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31

Kensert, Alexander, Gilles Collaerts, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, and Deirdre Cabooter. "Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms." Journal of Chromatography A 1646 (June 2021): 462093. http://dx.doi.org/10.1016/j.chroma.2021.462093.

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32

Jensen, Christer Andre, Ana María Acosta Roa, Jo-Åsmund Lund, and Jomar Frengen. "Intrafractional baseline drift during free breathing breast cancer radiation therapy." Acta Oncologica 56, no. 6 (2017): 867–73. http://dx.doi.org/10.1080/0284186x.2017.1288924.

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33

García Ruiz-Zorrilla, J., M. A. De la Casa de Julián, C. Rubio Rodriguez, et al. "EP-2029: Intrafractional baseline drift in SBRT of liver tumors." Radiotherapy and Oncology 127 (April 2018): S1108—S1109. http://dx.doi.org/10.1016/s0167-8140(18)32338-7.

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García Ruiz-Zorrilla, J., M. A. De la Casa de Julián, C. Rubio Rodriguez, et al. "EP-2035: Intrafractional baseline drift in SBRT of pancreas tumors." Radiotherapy and Oncology 127 (April 2018): S1111—S1112. http://dx.doi.org/10.1016/s0167-8140(18)32344-2.

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García Ruiz-Zorrilla, J., M. A. De la Casa de Julián, O. Hernando Requejo, et al. "EP-1981 Intrafractional baseline drift in SBRT of lung tumors." Radiotherapy and Oncology 133 (April 2019): S1081—S1082. http://dx.doi.org/10.1016/s0167-8140(19)32401-6.

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36

Lv, Yuejuan, Pengfei Wang, Yu Wang, et al. "Eliminating Phase Drift for Distributed Optical Fiber Acoustic Sensing System with Empirical Mode Decomposition." Sensors 19, no. 24 (2019): 5392. http://dx.doi.org/10.3390/s19245392.

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Phase-drift elimination is crucial to vibration recovery in the coherent detection phase-sensitive optical time domain reflectometry system. The phase drift drives the whole phase signal fluctuation as a baseline, and its negative effect is obvious when the detection time is long. In this paper, empirical mode decomposition (EMD) is presented to extract and eliminate the phase drift adaptively. It decomposes the signal by utilizing the characteristic time scale of the data, and the baseline is eventually obtained. It is validated by theory and experiment that the phase drift deteriorates serio

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Tancev, Georgi. "Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring." Sensors 21, no. 9 (2021): 3298. http://dx.doi.org/10.3390/s21093298.

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As key components of low-cost sensor systems in air quality monitoring, electrochemical gas sensors have recently received a lot of interest but suffer from unit-to-unit variability and different drift components such as aging and concept drift, depending on the calibration approach. Magnitudes of drift can vary across sensors of the same type, and uniform recalibration intervals might lead to insufficient performance for some sensors. This publication evaluates the opportunity to perform predictive maintenance solely by the use of calibration data, thereby detecting the optimal moment for rec

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Yan, Huichao, Ting Xu, Peng Wang, Linmei Zhang, Hongping Hu, and Yanping Bai. "MEMS Hydrophone Signal Denoising and Baseline Drift Removal Algorithm Based on Parameter-Optimized Variational Mode Decomposition and Correlation Coefficient." Sensors 19, no. 21 (2019): 4622. http://dx.doi.org/10.3390/s19214622.

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Underwater acoustic technology is an important means of detecting the ocean. Due to the complex influence of the marine environment, there is a lot of noise and baseline drift in the signals collected by hydrophones. In order to solve this problem, this paper proposes a denoising and baseline drift removal algorithm for MEMS vector hydrophone based on whale-optimized variational mode decomposition (VMD) and correlation coefficient (CC). Firstly, the power spectrum entropy (PSE), which reflects the variation characteristics of the signal frequency is selected as the fitness function of the whal

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Song, Jing-Jing, Yang-Yang Wang, Wen-Cheng Tong, Feng-Lian Ma, Jia-Nan Wang, and Yong-Jie Yu. "A New X-ray Diffraction Spectrum-Based Untargeted Strategy for Accurately Identifying Ancient Painted Pottery from Various Dynasties and Locations in China." Chemosensors 12, no. 4 (2024): 64. http://dx.doi.org/10.3390/chemosensors12040064.

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X-ray diffraction (XRD) is extensively used in archaeometric investigation. Herein, we provide a novel XRD spectrum-based untargeted strategy for the classification of ancient painted pottery for various dynasties. It was accomplished using the original spectrum without a phase identification. To eliminate the influence of baseline drift, a new baseline drift correction algorithm was specifically designed for XRD spectra. The algorithm was implemented using local minimum values in the analyzed signal in an iterative optimization manner. The results indicated that with the aid of the algorithm,

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40

Zhang, Feng, Xiaojun Tang, Angxin Tong, Bin Wang, and Jingwei Wang. "An Automatic Baseline Correction Method Based on the Penalized Least Squares Method." Sensors 20, no. 7 (2020): 2015. http://dx.doi.org/10.3390/s20072015.

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Baseline drift spectra are used for quantitative and qualitative analysis, which can easily lead to inaccurate or even wrong results. Although there are several baseline correction methods based on penalized least squares, they all have one or more parameters that must be optimized by users. For this purpose, an automatic baseline correction method based on penalized least squares is proposed in this paper. The algorithm first linearly expands the ends of the spectrum signal, and a Gaussian peak is added to the expanded range. Then, the whole spectrum is corrected by the adaptive smoothness pa

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41

Chiu, Hung-Chie. "Stable baseline correction of digital strong-motion data." Bulletin of the Seismological Society of America 87, no. 4 (1997): 932–44. http://dx.doi.org/10.1785/bssa0870040932.

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Abstract Most baseline errors of analog strong-motion data still exist in highresolution data. In this study, we identify the major baseline errors of digital strong-motion data and propose a three-step algorithm to correct these errors. The major baseline errors found in these digital data consist of constant drift in the acceleration, low-frequency instrument noise, low-frequency background noise, the small initial values for acceleration and velocity, and manipulation errors. This threestep algorithm includes fitting the baseline of acceleration by the least squares, applying a high-pass fi

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42

Agustika, Dyah Kurniawati, and Kuwat Triyana. "THE METHOD OF BASELINE MANIPULATION TO OVERCOME THE SENSOR DRIFT ON GAS SENSOR TEST FOR HERBAL DRINKS DISCRIMINATION." Jurnal Sains Dasar 5, no. 1 (2017): 55. http://dx.doi.org/10.21831/jsd.v5i1.12667.

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Abstract Gas sensor system is widely used for the detection of aroma. The main problem in this system is the sensor drift that makes poor reproducibility of the sensor. The reproducibility of the sensor can be improved by applying the feature selection of the sensor’s output response and baseline manipulation. This research focused on determining methods that can reduce the dift sensor of gas sensor by using basaeline manipulation and selecting the optimal type of baseline manipulation when gas sensor system detects three different types of herbal drinks. The data that have been feature select

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Young, Jeffrey S., Tanner McCarty, Sarah Lancaster, and Mandy Bish. "Modeling Soybean Planting Decisions with Network Diffusion: Does Herbicide Drift Affect Farmer Profitability and Seed Selection?" Journal of Agricultural and Applied Economics 55, no. 2 (2023): 304–23. http://dx.doi.org/10.1017/aae.2023.17.

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AbstractU.S. soybean farmers are currently grappling with dicamba herbicide drift. Using a network diffusion framework that accommodates key features of soybean farmer networks, we estimate the damages incurred from dicamba drift across different regions. Under our baseline assumptions, we estimate an average yield loss of 3% and predict sizable levels of forced switching to dicamba-resistant seed in response to drift. The relative importance of drift on damage and seed choice holds across a range of economic and network assumptions. In the absence of policy, this damage may cause regional ado

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Kim, Min-Kyu, Se-Jin Ahn, Weui-Bong Jeong, and Chinsuk Hong. "Improvement of Integer-coefficient High-pass Filters to Eliminate Baseline Drift." Transactions of the Korean Society for Noise and Vibration Engineering 29, no. 5 (2019): 608–16. http://dx.doi.org/10.5050/ksnve.2019.29.5.608.

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Wang, Yu Shi, and Xiao Jun Li. "Analysis on the Mechanism for Baseline Drift of near-Fault Accelerograms." Applied Mechanics and Materials 166-169 (May 2012): 2078–82. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.2078.

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Accelerograms recorded by accelerographs are of fundamental importance in seismic engineering, forming the basis of ground shaking employed for anti-seismic design. By analysis on the general solution of wave equation, this article demonstrated that the ground tilting is related with the ground velocity and displacement histories. For accelerograms with co-seismic permanent displacement, this ground tilting would be presented continuously with a tiny constant value after severe shock terminated. The co-seismic permanent displacement might be the reason of baseline drift, which caused that the

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Brown, Christopher D., Lorenzo Vega-Montoto, and Peter D. Wentzell. "Derivative Preprocessing and Optimal Corrections for Baseline Drift in Multivariate Calibration." Applied Spectroscopy 54, no. 7 (2000): 1055–68. http://dx.doi.org/10.1366/0003702001950571.

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Ricotti, Rosalinda, Delia Ciardo, Giovanni Fattori, et al. "Intra-fraction respiratory motion and baseline drift during breast Helical Tomotherapy." Radiotherapy and Oncology 122, no. 1 (2017): 79–86. http://dx.doi.org/10.1016/j.radonc.2016.07.019.

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Sanyal, Alarka, Arijit Baral, and Abhijit Lahiri. "Application of Framelet Transform in Filtering Baseline Drift from ECG Signals." Procedia Technology 4 (2012): 862–66. http://dx.doi.org/10.1016/j.protcy.2012.05.141.

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Bertolaccini, Mario, Domenico Dotti, and Giorgio Padovini. "A Precision Baseline Offset and Drift Corrector for Low-Frequency Applications." IEEE Transactions on Instrumentation and Measurement IM-34, no. 3 (1985): 405–12. http://dx.doi.org/10.1109/tim.1985.4315359.

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KYOSO, Masaki, Jun MIDORIKAWA, and Yuichi SHIMATANI. "A Baseline Drift Canceler Using Discharging Chopper for Surface Metal Electrodes." Advanced Biomedical Engineering 1 (2012): 3–8. http://dx.doi.org/10.14326/abe.1.3.

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