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3rd International Conference on Biomedical Electronics and Devices (BIODEVICES 2010)

作者： Avitia, Roberto L. Reyna, Marco A. Bravo, Miguel E. Cetto, Lucio A. Univ Autonomous Baja California Bioengn Acad Body Alvaro Obregon Ave Mexicali Baja California Mexico MathWorks Inc Computat Biol Dept Natick MA USA

ISBN: (纸本)9789896740177

Signal Averaged Electrocardiography (SAECG) is a technique widely used as an alternative to improve signal to noise ratio (SNR), but sometimes patient's physiology may alter the characteristics of quasi-steady heartbeats that are assumed in the averaging. This paper evaluates the noise as a parameter for measuring the alignment heartbeats by Derivative Dynamic Time Warping (DDTW) and using piecewise linear approximation (PLA) as well. The records were taken from a group of healthy individuals and the results show that the number of heartbeats averaged necessary to improve the SNR is less than the traditional method.

关键词： Signal averaged electrocardiography Dynamic programming piecewise linear approximation Heartbeat alignment

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A New Method of piecewise linear approximation of Non-stationary Time Series for Similarity Measurement 12

A New Method of Piecewise Linear Approximation of Non-statio...

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12th International Conference on Electronics Computer and Computation (ICECCO)

作者： Satybaldiev, Daniiar Int Ataturk Alatoo Univ Dept Elect & Nano Elect Engn Fac New Technol Bishkek Kyrgyzstan

ISBN: (纸本)9781509001996

As much of data and information are performed over time they are represented in a form of time series. The amount of information increases with tremendous speed that should be stored and analyzed. Extracting meaningful information from the stock of data is called time series data mining. Important part of time series data mining is similarity search of time series. The new method is developed for time series representation in a form of piecewise linear form which was taken as a base for building as criteria for similarity search of time series. The main approach based on our work will be discussed in this article.

关键词： piecewise Polynomial Aggregate support points multiple nonlinear regressions piecewise linear approximation

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International Conference on Wireless Communications and Signal Processing

作者： Li, Guiling Wang, Yuanzhen Zhang, Liping Zhu, Xiaolian Huazhong Univ Sci & Technol Coll Comp Sci & Technol Wuhan 430074 Peoples R China China Univ Geosci Sch Comp & Sci Wuhan Peoples R China

ISBN: (纸本)9781424448562

Time series data have attracted much research recently. Among many valuable research topics, similarity measure is very important. The choice of similarity measure can affect the result of data mining tasks. piecewise linear approximation is a kind of dimensionality reduction technique, based on piecewise linear approximation, we introduce two similarity measures for time series, which satisfy four properties of metric. We use the measures in similarity search problem, experiments on real data show their effectiveness.

关键词： data mining similarity measure piecewise linear approximation

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Streaming piecewise linear approximation for Efficient Data Management in Edge Computing 19

Streaming Piecewise Linear Approximation for Efficient Data ...

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34th ACM/SIGAPP Annual International Symposium on Applied Computing (SAC)

作者： Duvignau, Romaric Gulisano, Vincenzo Papatriantafilou, Marina Savic, Vladimir Chalmers Univ Technol CTH Gothenburg Sweden

ISBN: (纸本)9781450359337

In our digitalization era, where large and continuous data streams are produced by an ever increasing number of sensors, data retrieval and storage from edge devices is hampered when data volumes exceed the communication bandwidth of cyber-physical systems. piecewise linear approximation (PLA), which trades space against precision by representing some portion of data by segments, could reduce the volume of transmitted and stored data and thus be beneficial to a wide range of edge/ fog system architectures, saving communication bandwidth and addressing the aforementioned drawback. Porting a well-established tool such as PLA into the streaming paradigm is nonetheless challenging, and attention has to be payed to balance achievable compression, delays and imprecision. We analyze such challenges and propose different solutions to meet them. Our main contribution is a set of streaming PLA techniques that allow compression of the input data stream on the fly, tolerating a bounded maximum error. Through an experimental study based on real data, we demonstrate the superiority of our techniques in all sought aspects over preceding methods.

关键词： data compression piecewise linear approximation edge computing

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A feature compensation approach using piecewise linear approximation of an explicit distortion model for noisy speech recognition

A feature compensation approach using piecewise linear appro...

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33rd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Du, Jun Huo, Qiang Univ Sci & Technol China Hefei Anhui Peoples R China Microsoft Res Asia Beijing Peoples R China

ISBN: (纸本)9781424414833

This paper presents a new feature compensation approach to noisy speech recognition by using piecewise linear approximation (PLA) of an explicit model of environmental distortions. Two traditional approaches, namely vector Taylor series (VTS) and MAX approximations, are two special cases of our proposed approach. Formulations for maximum likelihood (ML) estimation of noise model parameters and minimum mean square error (MMSE) estimation of clean speech are derived. A hybrid approach of using different approximations for different types of noisy speech segments is also proposed. Experimental results on Aurora2 and Aurora3 databases demonstrate that the proposed approaches achieve consistently significant improvements in recognition accuracy compared to the traditional VTS-based feature compensation approach.

关键词： robust speech recognition feature compensation piecewise linear approximation distortion model

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Solution of non linear Fredholm integral equation involving constant delay by BEM with piecewise linear approximation

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JOURNAL OF INTERDISCIPLINARY MATHEMATICS 2020年第2期23卷 537-544页

作者： Sarkar, Nimai Sen, Mausumi Saha, Dipankar Natl Inst Technol Dept Math Silchar 788010 Assam India

This paper provides a methodology to solve a non linear Fredholm integral equation involving constant delay. Hybridization of boundary element method (BEM) along with piecewise linear approximation method is considered to resolve the nonlinearity. This simple technique provides a good approximation to non linear integral equations involving constant delay. Variation of constant delay term and efficiency of the method is also discussed via few suitable numerical examples.

关键词： Fredholm integral equation Constant delay BEM Boundary element method piecewise linear approximation

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Li-ion Battery SOC Estimation via Gaussian Sum Filtering and piecewise linear approximation 12

Li-ion Battery SOC Estimation via Gaussian Sum Filtering and...

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2024 IEEE Andescon Conference

作者： Alcantara, Ignacio E. Cedeno, Angel L. Silva, Cesar A. Aguero, Juan C. Univ Tecn Federico Santa Maria Dept Elect Valparaiso Chile

ISBN: (纸本)9798350355291;9798350355284

Model-based methods for state of charge estimation in Lithium-Ion batteries have been widely employed. In this paper a novel filtering model-based algorithm is developed to estimate the state of charge. An 1RC equivalent circuit model and a piecewise linear approximation of the relationship between Open Circuit Voltage and State Of Charge are utilized for modelling the system of interest. A simulation study that consideres pulsed current discharge is developed. To validate these results, real battery data are utilized under various dynamic test profiles. The performance of the proposed filtering algorithm is compared with Extended Kalman Filter and Particle Filter.

关键词： Li-ion battery SOC piecewise linear approximation Model-based method Gaussian sum filtering Bayesian estimation EKF Particle Filter

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Data piecewise linear approximation for Bearings Degradation Monitoring 10

Data Piecewise Linear Approximation for Bearings Degradation...

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10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems - Technology and Applications (IDAACS)

作者： Huang, Fei Sava, Alexandre Adjallah, Kondo H. Wang, Zhouhang Univ Lorraine Lab Concept Optimisat & Modelisat Syst LCOMS EA 7306 F-57000 Metz France Huaiyin Inst Technol 1 Meicheng Rd Huaian 223003 Jiangsu Peoples R China

ISBN: (纸本)9781728140698

In this paper, we propose a method based on piecewise linear approximation (PLA) with segmented projection error (SPE) to reveal the underlying correlation structures and approximate multivariate time series. Based on this method we elaborate an indicator called vector of segmented projection error (VSPE) to characterize the bearings degradation using standard time domain standard features extracted from the vibration signal. The indicator VSPE monitors the evolution of the entire degradation process efficiently and provides real-time information on bearings degradation. We show the effectiveness of this new indicator using benchmark data. The results reveal the sensitive and monotonic character of the indicator VSPE according to the bearings degradation, which is promising for monitoring bearings on their lifespan.

关键词： piecewise linear approximation segmented projection error VSPE

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piecewise linear approximation of Generators Cost Functions Using Max-Affine Functions

Piecewise Linear Approximation of Generators Cost Functions ...

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IEEE Power and Energy Society General Meeting

作者： Hamed Ahmadi José R. Martí Ali Moshref School of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada BBA Vancouver BC Canada

ISBN: (纸本)9781479913022

Nonlinear functions are often encountered in power system optimizations. In this paper, an effective piecewise linear (PWL) approximation technique is introduced which shows promising performance in linearizing the nonlinear functions. This method uses a series of linear functions, called max-affine functions, to linearize a multivariate function over a bounded domain. The important advantage of this method is its ability to decide on the size of the subspaces, which other methods are not capable of. It is also shown that using the PWL approximation, significant efficiency is achievable in computation burden of most power system optimizations, such as unit commitment.

关键词： piecewise linear approximation Generators dynamos linear approximation piecewise piecewise linear approximation nonlinear functions power level Cost functions linear function Unit commitment Subspace

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Combining SAX and piecewise linear approximation to improve similarity search on financial time series

Combining SAX and Piecewise Linear Approximation to improve ...

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International Symposium on Information Technology Convergence

作者： Nguyen Quoc Viet Hung Duong Tuan Anh HoChiMinh City Univ Technol Fac Comp Sci & Engn Thanh Pho Chi Minh Vietnam

ISBN: (纸本)9780769530451

Efficient and accurate similarity searching on a large time series data set is an important but non-trivial problem. In this work, we propose a new approach to improve the quality of similarity search on time series data by combining Symbolic Aggregate approximation (SAX) and piecewise linear approximation. The approach consists of three steps: transforming real valued time series sequences to symbolic strings via SAX, pattern matching on the symbolic strings and a post processing via piecewise linear approximation.

关键词： piecewise linear approximation Saxophones Time series time series data Cosmic strings

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