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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2955 条记录，以下是301-310 订阅

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Fetal signal Reconstruction Based on Independent Components Analysis

Fetal Signal Reconstruction Based on Independent Components ...

引用

3rd international conference on Bioinformatics and Biomedical Engineering

作者： Lee, Yapeng Jiang, Shiqin Tongji Univ Sch Elect & Informat Engn Shanghai 200092 Peoples R China

ISBN: (纸本)9781424429011

Independent component analysis (ICA) is an effective source separation method, and has been widely used in fetal signal detection from abdominal maternal electrocardiogram (ECG) and magnetocardiography (MCG). One difficulty with the application of ICA is to determine the character information of independent components. A method, based on a simple statistical parameter kurtosis, is proposed in this paper to solve the problem. It has been successfully applied to remove the maternal signal and the noise from the raw fetal MCG (fMCG) data of a 28-week pregnant woman through a 5 channel fMCG detector. The method offers potential applications for online processing of fMCG using ICA.

关键词： Independent component analysis fetus Magnetocardiography signals reconstruction

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DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELERATION data

DETECTION OF TOOTHBRUSHING ACTIVITY USING FREE-LIVING ACCELE...

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3rd international conference on Bio-Inspired Systems and signal processing (BIOsignalS 2010)

作者： Zillmer, Rudiger Unilever R&D Port Sunlight Quarry Rd East Bebington England

ISBN: (纸本)9789896740184

The present paper discusses the characterisation of toothbrushing activity, using acceleration data collected for 50 subjects in free-living conditions. The data logging is triggered by super-threshold values of acceleration, which can give rise to false activations by non-brushing activities. Due to large intra and inter individual variations, it is not possible to obtain an exhaustive training-set of all activities that trigger the logging. Thus, a structural analysis of appropriate data features is performed, which reveals a clustering of the data. The comparison with brushing activity traces from laboratory experiments allows the identification of toothbrushing activity, while the remainder corresponds to various false activation events like electronic noise or brush handling. The distribution of the resulting toothbrushing activity shows distinct peaks for morning and night brushing activity.

关键词： Activity monitoring Free-living Accelerometer Classification

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Research on the Improved data processing Method for Foot-Mounted Inertial Pedestrian Positioning System 3

Research on the Improved Data Processing Method for Foot-Mou...

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3rd international conference on Communications, signal processing, and their Applications (ICCSPA)

作者： Wang, Qiuying Kuang, Chunxu Noureldin, Aboelmagd Liu, Kaiyue Cui, Xufei Guo, Zheng Harbin Engn Univ Coll Informat & Commun Engn Harbin Heilongjiang Peoples R China Royal Mil Coll Canada Nav & Instrumentat Res Grp Kingston ON Canada

ISBN: (纸本)9781728120850

Foot-mounted Inertial Pedestrian Position System ( FIPPS) plays an important role for indoor position application. It can be used in the environment without GNSS such as firefighting and military. However, the accumulating position error produced by the MIMU measurement noise, makes the system for long time position impossible. Zero Velocity Update ( ZUPT) is a proposed algorithm to reduce position error for FIPPS. For ZUPT, Kalman filter is used to estimate and compensate the position error. However, because the heading misalignment angle cannot be observed by ZUPT, part of the position error caused by heading misalignment angle cannot be compensated. According to the problem above, this paper shows the improving FIPPS position algorithms we proposed in recent years, including: a) Adaptive Gradient Descent Fast-Initial Alignment Algorithm for solving the problem of the inaccuracy initial attitude resulting in the position error;b) the FR-data algorithm for solving the stable problem when the pedestrian walking fast;c) Adaptive Inertial/ Magnetometer Positioning Algorithm and Improved Attitude Algorithm for improving the heading misalignment angle observability;d) Dual-foot positioning algorithm based on Adaptive Inequality Constraints Kalman filter for correcting the position error. Finally, performance of the FIPPS improve algorithm is tested using MTi-G710 MIMU.

关键词： pedestrian position system inertial sensors magnetometer zero velocity update position error mitigation

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Study on Denoising of Vibration signals Based on Improved DT-CWPT 3

Study on Denoising of Vibration Signals Based on Improved DT...

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3rd international conference on Computer Science and Blockchain, CCSB 2023

作者： Zhao, Kai Zhang, Yun Sun, Tao Wang, Zhixiong Naval Aviation University Yantai China

ISBN: (纸本)9798350359077

Preprocessing the collected vibration signal is an important link in the analysis of vibration signal, which will directly affect the final result. This paper presents a method for denoising vibration signal, which uses the modified dual-tree complex wavelet packet transform (DT-CWT) to decompose and reconstruct the signals. It is an improvement of wavelet packet transform and can be used for denoising better. By compose the experimental data, it can be found that the proposed method can effectively reduce the noise of vibration signal and achieve the expected effect. © 2023 IEEE.

关键词： signal denoising

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A signal reconstruction method for memory-type transient electromagnetic detection systems in horizontal wells 3

A signal reconstruction method for memory-type transient ele...

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3rd international conference on Intelligent Control, Measurement and signal processing and Intelligent Oil Field, ICMSP 2021

作者： Bo, Dang Mengmeng, Peng Bowen, Ren Ling, Yang Xi'An Shiyou University Key Laboratory of Photoelectric Logging and Detecting of Oil and Gas Ministry of Education Shaanxi Xi'an China

ISBN: (纸本)9781665437158

A signal reconstruction method for memory-type transient electromagnetic detection systems based on empirical mode decomposition (EMD) was proposed in this study to tackle with the large volume of data saved by the electromagnetic flaw detector in horizontal wells. First, based on the underground transient electromagnetic detection model, sparse representation was performed for the depth-dimensional transient electromagnetic detection signal, which was then projected through a Gaussian random measurement matrix. Next, a depth-directional observation matrix was built to reconstruct the underground transient electromagnetic signal. In addition, in order to improve the reconstruction precision, the baseline wander of underground transient electromagnetic detection signal was removed through EMD, the key information of casing pipe was described using intrinsic mode functions (IMFs), and the IMFs were constructed using the above compressive sensing algorithm. It is verified through the measured data that the compressed signal after the baseline removal can be recovered at a higher probability, and moreover, it can accurately describe the forms of casing pipes and effectively remit the storage problem of large data volume faced by the memory-type electromagnetic flaw detectors in horizontal wells. © 2021 IEEE.

关键词： Empirical mode decomposition

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Earthquake big data processing and visualization based on PyEcharts 3

Earthquake big data processing and visualization based on Py...

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3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wu, Jiandong Wang, Qiang Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang China Software School of East China University of Technology Nanchang China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

This paper mainly uses the Python language and the pyecharts library to mine the earthquake data that occurred around the world in 2020, and finally displays it with pie charts, bar charts and other graphics. It lays a foundation for better use and processing of earthquake big data in the future, and also demonstrates the application of big data in other industries. © 2023 SPIE.

关键词： Visualization

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Effective Computational Techniques for Generating Electroencephalogram data 3

Effective Computational Techniques for Generating Electroenc...

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3rd international conference on Advanced Science and Engineering, ICOASE 2020

作者： Elsayed, Mahmoud Sim, Kok Swee Tan, Shing Chiang Multimedia University Faculty of Engineering and Technology Melaka Malaysia Multimedia University Faculty of Information Science and Technology Melaka Malaysia

ISBN: (纸本)9781665415798

The complexity of the electroencephalogram makes it a significant challenge for physicians and engineers to extract useful information from, process, and classify the electroencephalogram signals. Moreover, the difficulty in conducting clinical experimentation limits the collection of a sufficient number of electroencephalogram data samples for further processing using advanced computational techniques such as deep learning. This complexity and difficulty together with the inflexibility and the subtle linearity of the traditional signal processing techniques motivate us to find innovative techniques to address the problem of insufficient electroencephalogram data. In this paper, a number of computational and statistical techniques to generate electroencephalogram data from a previously done experiment on 30 healthy participants experiencing painful stimuli are applied. We believe this application will benefit the research in the field of biomedical signal processing. © 2020 IEEE.

关键词： Electroencephalography

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Analyzing the Malnutrition Valuation on Legazpi City using data Analytics 2019

Analyzing the Malnutrition Valuation on Legazpi City using D...

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3rd international conference on Digital signal processing (ICDSP) / 2nd international conference on Computer Graphics and Virtuality (ICCGV)

作者： Monreal, Richard N. Palaoag, Thelma D. Divine Word Coll Legazpi Sch Engn & Comp Studies Legazpi City Philippines Univ Cordilleras Coll Informat Technol & Comp Sci Baguio Philippines

ISBN: (纸本)9781450362047

A data analytics predictive analysis aids to unlock the knowledge of the decision maker in the development of the organization to addressing the malnutrition in implementing government projects in the City of Legazpi, Philippines. Malnutrition is one of the results of poverty in the country mostly the younger age Filipinos. The study aims to apply data Analytics in analyzing the factor that affects its malnutrition. The researchers evaluated the parameters that have significant contribution in deciding malnutrition. The correlation of the parameters in deciding malnutrition and the level of malnutrition per barangay in the city were also determined. The Rural Health Unit of Legazpi City collects the demographic data of the resident per barangay in determining malnutrition in city. A data Analytics tool was used in extracting, classifying, analyzing and evaluating data that may cause malnutrition in the city. In the results, it shows that the attribute location under the coastal area is more significant in determining the malnutrition in the city. From these findings, the correlation analysis of the data shows that the malnutrition in the city of Legazpi has decreased by 0.24% over-all. However, in the coastal area increases by 0.3%. It is also show in the prediction analysis that the coastal area is significant to the malnutrition. The paper will lead to the Local Government Unit in addressing the factor of malnutrition increase and implement programs which are actually needed in solving the problem.

关键词： Malnutrition data Analytics data Mining Prediction Correlation

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Research on High-bandwidth ROF Optical Transceiver Module Based on Adaptive Push-Pull Structure 19

Research on High-bandwidth ROF Optical Transceiver Module Ba...

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3rd international conference on High Performance Compilation, Computing and Communications (HP3C)

作者： Xu Qian-Kun Yi, Zhang Cheng Army Armor Armored Forces Weaponry & Control Beijing 100072 Peoples R China Capital Normal Univ Coll Educ Beijing 100048 Peoples R China

ISBN: (纸本)9781450366380

Aiming at the nonlinear distortion problem of ROF, the common parameters for evaluating ROF linearity and the nonlinear distortion components commonly used in ROF links are analyzed by theoretical derivation and ROF link characteristics. A push-pull structure combined with adaptive compensation algorithm is proposed. The method was verified by simulation. For the tested two-tone signal, the simulation results show that the method can eliminate the IMD2, HD2, IMD3 and XMD distortion components at the same time.

关键词： optical-borne wireless communication linearization digital signal processing push-pull structure

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data processing of electric probe data acquired under locally close-to-coherent noise conditions

Data processing of electric probe data acquired under locall...

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3rd international Workshop & Summer School on Plasma Physics

作者： Dias, F. M. Inst Super Tecn Inst Plasmas & Fusao Nucl P-1049001 Lisbon Portugal

A numerical procedure able to effectively eliminate close-to-coherent noise from measured data is presented. Although the data processing of probe measurements in Tokamak machines was the initial motivation, the current procedure is quite general concerning the kind and the source of data it can be applied to. As a result, the procedure can be useful for decreasing drastically the acquisition-time that otherwise is required to achieve acceptable signal-to-noise ratios in a very wide range of measurements.

关键词： signal to noise ratio

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