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Готові списки джерел за темами / Emperical Mode Decomposition (EMD) / Дисертації

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Дисертації з теми "Emperical Mode Decomposition (EMD)"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Li, Zhendan. "An Ensemble Empirical Mode Decomposition Approach to Wear Particle Detection in Lubricating Oil Subject to Particle Overlap." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20313.

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Анотація:

With the development of mechanical fault diagnosis technology, complex mechanical systems do not need to be shut down periodically for the maintenance. The working condition of the mechanical systems can be monitored by analyzing the wear metal particles in the systems' lubricating oil. However, the output signals of the monitoring sensor are non-stationary. In some case the particle signals are overlapped with each other. The goal of this thesis is to find a method to decompose those overlapped particle signals, and then count the particle number in the lubricating oil. At the beginning EMD

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2

Tomás, Ana Raquel Dias. "Application of empirical mode decomposition (EMD) to chronological series of active fires from MODIS satellite." Master's thesis, ISA/UTL, 2011. http://hdl.handle.net/10400.5/4481.

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Mestrado em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia<br>Fire is a global phenomenon, acting as an important disturbance process. Africa is one of the continents that has higher fire density, particularly in savanna regions, making it the subject of innumerous studies about fire regime and behavior. Here, a new method of time series analysis called Empirical Mode Decomposition (EMD) was applied to monthly fire counts time series from MODIS Terra/Aqua sensors. The goals were to analyze the differences between the time series from the two instruments (MODIS T

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3

Abderahman, Huthaifa. "An Integrated Compensation System Based on Empirical Mode Decomposition for Robust Noninvasive Blood Pressure Estimation." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35314.

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When it comes to monitoring human health, accuracy is not a choice. Accuracy in blood pressure (BP) estimation is essential for proper diagnosis and management of hypertension. An error of 5 mmHg is so serious, it can be responsible for doubling or halving number of patients diagnosed with hypertension. Motion artifacts are external sources of inaccuracy and can be due to sudden arm motion, muscle tremor, shivering, and transport vehicle vibration. Medium term drift, due to changing environmental factors, such as ambient temperature, can also contribute to the inaccuracy. Long term drift (agei

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4

Sadeghi, Mehdi. "Potential of the Empirical Mode Decomposition to analyze instantaneous flow fields in Direct Injection Spark Ignition engine : Effect of transient regimes." Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE2069/document.

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Cette étude introduit une nouvelle approche appelée Bivariate 2D-EMD pour séparer le mouvement organisé à grande échelle, soit la composante basse fréquence de l’écoulement des fluctuations turbulentes, soit la composante haute fréquence dans un champ de vitesse instantané bidimensionnel.Cette séparation nécessite un seul champ de vitesse instantané contrairement aux autres méthodes plus couramment utilisées en mécanique des fluides, comme le POD. La méthode proposée durant cette thèse est tout à fait appropriée à l’analyse des écoulements qui sont intrinsèquement instationnaires et non linéai

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5

Waindim, Mbu. "On Unsteadiness in 2-D and 3-D Shock Wave/Turbulent Boundary Layer Interactions." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511734224701396.

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6

Šlancar, Matěj. "Potlačení driftu signálu EKG s využitím empirického rozkladu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316450.

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The aim of this thesis is to introduce with principle of Empirical Mode Decomposition method and possibility use for correction of baseline wander in ECG signals. The thesis describes the main components of the ECG signal, a selection of possible types of signal noise, its property and principles of chosen methods for filtration of ECG signals. In conclusion the evaluation of the effectiveness of the EMD method for filtering a baseline wander and it comparing with effectiveness of the linear filtration. Functionality of used algorithms has been tested on signals of CSE standard library.

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7

De, Sanctis Silvia [Verfasser], and Hans Robert [Akademischer Betreuer] Kalbitzer. "Application of Singular Spectrum Analysis (SSA), Independent Component Analysis (ICA) and Empirical Mode Decomposition (EMD) for automated solvent suppression and automated baseline and phase correction from multi-dimensional NMR spectra / Silvia De Sanctis. Betreuer: Hans Robert Kalbitzer." Regensburg : Universitätsbibliothek Regensburg, 2011. http://d-nb.info/1030178941/34.

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8

Procházka, Petr. "Odstraňovaní kolísání izolinie v EKG pomocí empirické modální dekompozice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221366.

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In this semestral thesis, realizations of chosen linear filters for baseline wander are described. These filters are then used on artificial ECG signals from CSE database with added baseline wander. These methods are compared and results are evaluated. After that, literature search of Empirical mode decomposition method is utilized. Realization of designed filters in MATLAB programming language are described, then results are evaluated with respect to filtration success.

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9

Fayad, Farah. "Apprentissage et annulation des bruits impulsifs sur un canal CPL indoor en vue d'améliorer la QoS des flux audiovisuels." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00769953.

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Анотація:

Le travail présenté dans cette thèse a pour objectif de proposer et d'évaluer les performances de différentes techniques de suppression de bruit impulsif de type asynchrone adaptées aux transmissions sur courants porteurs en lignes (CPL) indoor. En effet, outre les caractéristiques physiques spécifiques à ce type de canal de transmission, le bruit impulsif asynchrone reste la contrainte sévère qui pénalise les systèmes CPL en terme de QoS. Pour remédier aux dégradations dues aux bruits impulsifs asynchrones, les techniques dites de retransmission sont souvent très utilisées. Bien qu'elles soie

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10

Mettke, Philipp. "Vorhersagbarkeit ökonomischer Zeitreihen auf verschiedenen zeitlichen Skalen." Bachelor's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197876.

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This thesis examines three decomposition techniques and their usability for economic and financial time series. The stock index DAX30 and the exchange rate from British pound to US dollar are used as representative economic time series. Additionally, autoregressive and conditional heteroscedastic simulations are analysed as benchmark processes to the real data. Discrete wavelet transform (DWT) uses wavelike functions to adapt the behaviour of time series on different time scales. The second method is the singular spectral analysis (SSA), which is applied to extract influential reconstructed m

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11

Hargis, Brent H. "Analysis of Long-Term Utah Temperature Trends Using Hilbert-Haung Transforms." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5490.

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We analyzed long-term temperature trends in Utah using a relatively new signal processing method called Empirical Mode Decomposition (EMD). We evaluated the available weather records in Utah and selected 52 stations, which had records longer than 60 years, for analysis. We analyzed daily temperature data, both minimum and maximums, using the EMD method that decomposes non-stationary data (data with a trend) into periodic components and the underlying trend. Most decomposition algorithms require stationary data (no trend) with constant periods and temperature data do not meet these constraints.

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12

Janáková, Jaroslava. "Odhad dechové frekvence z elektrokardiogramu a fotopletysmogramu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442594.

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The master thesis deals with the issue of gaining the respiratory rate from ECG and PPG signals, which are not only in clinical practice widely used measurable signals. The theoretical part of the work outlines the issue of obtaining a breath curve from these signals. The practical part of the work is focused on the implementation of five selected methods and their final evaluation and comparison.

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13

Yeh, Jia-Rong, and 葉家榮. "APPLICATIONS OF EMPIRICAL MODE DECOMPOSITION (EMD) IN PHYSIOLOGICAL SIGNAL ANALYSIS." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82879254109505190946.

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Анотація:

博士<br>元智大學<br>機械工程學系<br>97<br>The functions of the human body are frequently associated with physiological signals, which convey hidden information, determined by the various complicated underlying mechanisms. Moreover, physiological signal processing and analysis are interdisciplinary topics. A physiological system is non-linear and non-stationary, therefore, most of traditional algorithms based on linear assumption cannot satisfy the requirements for physiological signal analysis. Recently, empirical mode decomposition (EMD) was proposed as a signal processing and analysis algorithm for nonl

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14

Tseng, Ji-Yu, and 曾紀宇. "Memory-Efficient & Scalable Empirical Mode Decomposition (EMD) and its Hardware Implementation." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/4z6mzx.

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碩士<br>國立中正大學<br>資訊工程研究所<br>101<br>Empirical mode decomposition (EMD) has outstanding performance in non-linear and non-stationary signal analysis. But it is not widely adopted in embedded and real-time signal processing applications due to its high computing complexity and high memory requirement. This thesis proposes a memory-efficient EMD design with parallel architecture, which has been integrated into an embedded system successfully. First, a memory-efficient segmented cubic spline computation is proposed to reduce the memory requirements in EMD. Then, a systematic exploration is proposed

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15

Khaldi, Kais. "Processing and analysis of sounds signals by Huang transform (Empirical Mode Decomposition: EMD)." Phd thesis, 2012. http://tel.archives-ouvertes.fr/tel-00719637.

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Анотація:

This dissertation explores the potential of EMD as analyzing tool for audio and speech processing. This signal expansion into IMFs is adaptive and without any prior assumptions (stationarity and linearity) on the signal to be analyzed. Salient properties of EMD such as dyadic filter bank structure, quasi-symmetry of IMF and fully description of IMF by its extrema, are exploited for denoising, coding and watermarking purposes. In speech signals denoising, we initially proposed a technique based on IMFs thresholding. A comparative analysis of performance of this technique compared to the denoisi

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16

Zhendan, Li. "An Ensemble Empirical Mode Decomposition Approach to Wear Particle Detection in Lubricating Oil Subject to Particle Overlap." Thèse, 2011. http://hdl.handle.net/10393/20313.

Повний текст джерела

Анотація:

With the development of mechanical fault diagnosis technology, complex mechanical systems do not need to be shut down periodically for the maintenance. The working condition of the mechanical systems can be monitored by analyzing the wear metal particles in the systems' lubricating oil. However, the output signals of the monitoring sensor are non-stationary. In some case the particle signals are overlapped with each other. The goal of this thesis is to find a method to decompose those overlapped particle signals, and then count the particle number in the lubricating oil. At the beginning EMD

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17

Nyaga, Muriithi Job. "The use of empirical mode decomposition (EMD) and variable length boostrap (VLB) for stochastic rainfall generation." Thesis, 2015. http://hdl.handle.net/10539/17668.

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This Research Report sets out to find out how the use of Empirical Mode Decomposition (EMD) for block selection impacts on the performance of the Variable Length Bootstrap (VLB) stochastic rainfall generator. Empirical Mode Decomposition (EMD), a relatively new data-adaptive approach, decomposes a time series into a group of component time series’ termed Intrinsic Mode Functions (IMFs) that are considered to quantify the impact of the multiple physical processes that affect the variability in the original time series. Therefore using IMFs may be better than the subjective method currently used

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18

Lin, En-Hung, and 林恩弘. "Extraction of MEG steady-state auditory evoked field in tinnitus patient using empirical mode decomposition (EMD)." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/60535972634273410917.

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碩士<br>國立中央大學<br>電機工程研究所<br>100<br>This dissertation adopted multi-channel MEG to study the steady-state auditory evoked field (SSAEF) responses in tinnitus patients. In this study, 10 right-handed subjects (5 single-side tinnitus patients), aged from 22 to 50 years (mean age at 33 years) were recruited. MEG experiments were performed in a sound-proof magnetic shielding room. MEG data were recorded at 1000 Hz sampling rate. Auditory stimuli were given to subject’s left ear and right ear separately. Preceding the SSAEF study, pure tone stimulations were given to each subject to ensure the sound

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19

Mouton, Jacques. "Combining empirical mode decomposition with neural networks for the prediction of exchange rates / Jacques Mouton." Thesis, 2014. http://hdl.handle.net/10394/15448.

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Анотація:

The foreign exchange market is one of the largest and most active financial markets with enormous daily trading volumes. Exchange rates are influenced by the interactions of a large number of agents, each operating with different intentions and on different time scales. This gives rise to nonlinear and non-stationary behaviour which complicates modelling. This research proposes a neural network based model trained on data filtered with a novel Empirical Mode Decomposition (EMD) filtering method for the forecasting of exchange rates. One minor and two major exchange rates are evaluated in this

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20

Μπάρκουλα, Κωνσταντίνα. "Ευφυής ψηφιακή επεξεργασία σημάτων με μεθόδους EMD, TKO και συνδυασμοί". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/3545.

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Анотація:

Στα πλαίσια της διπλωματικής αυτής εργασίας στόχος μας είναι η εφαρμογή τεχνικών ψηφιακής επεξεργασίας σήματος σε γεωφυσικά σήματα και συγκεκριμένα κατά κύριο λόγο σε σήματα γεωηλεκτρικού δυναμικού μακράς διάρκειας και σε σήματα σεισμικών κυμάτων. Έχουμε εστιάσει την επεξεργασία μας στην διερεύνηση της εφαρμογής δυο τεχνικών επεξεργασίας ξεχωριστά και σε συνδυασμό. Η πρώτη αφορά την εκτίμηση της στιγμιαίας συχνότητας ενός σήματος μέσω του τελεστή Teager-Kaiser [Maragos_1991] στοχεύοντας σε μια εναλλακτική στα προβλήματα συμβιβασμού της διακριτικής ικανότητας, στην υπολογιστική πολυπλοκό

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21

Hsiao, You-Ren, and 蕭祐仁. "Characterization of Nonstationary and Nonlinear Hydrologic, Environmental and Epidemic Time Series Based on Empirical Mode Decomposition (EMD)-based Algorithms and Time-dependent Intrinsic Correlation (TDIC)." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/q73t4p.

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碩士<br>國立臺灣大學<br>土木工程學研究所<br>107<br>Time frequency analysis is a powerful tool to investigate the characteristic time scale and energy distribution of a signal. However, assumptions of the linearity and non-stationary character of the signal limit the estimation of any correlation between two variables using traditional time-frequency techniques (such as short-time Fourier transform, wavelet transform and others.). Thus, a method of noise-assisted multivariate empirical mode decomposition (NAMEMD)-based spectral analysis is introduced. A time-dependent intrinsic correlation (TDIC) algorithm is

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22

Lanka, Karthikeyan. "Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3363.

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Анотація:

The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events of future constitute the crux of time series analysis and forecasting. Several methods such as qualitative techniques (e.g., Delphi method), causal techniques (e.g., least squares regression), quantitative techniques (e.g., smoothing method, time series models) have been developed in the past in which the concept lies in establishing a model either theoretically or mathematica

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23

Lanka, Karthikeyan. "Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models." Thesis, 2013. http://etd.iisc.ernet.in/2005/3363.

Повний текст джерела

Анотація:

The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events of future constitute the crux of time series analysis and forecasting. Several methods such as qualitative techniques (e.g., Delphi method), causal techniques (e.g., least squares regression), quantitative techniques (e.g., smoothing method, time series models) have been developed in the past in which the concept lies in establishing a model either theoretically or mathematica

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24

Wang, KeSheng. "Approaches to the improvement of order tracking techniques for vibration based diagnostics in rotating machines." Thesis, 2011. http://hdl.handle.net/2263/28747.

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Анотація:

Conventional rotating machine vibration monitoring techniques are based on the assumption that changes in the measured structural response are caused by deterioration in the condition of the rotating machine. However, due to variations of the rotational speed, the measured signal may be non-stationary and difficult to interpret. For this reason, the order tracking technique is introduced. One of main advantages of order tracking over traditional vibration monitoring lies in its ability to clearly identify non-stationary vibration data and to a large extent exclude the influences of varying rot

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25

Mettke, Philipp. "Vorhersagbarkeit ökonomischer Zeitreihen auf verschiedenen zeitlichen Skalen." Bachelor's thesis, 2015. https://tud.qucosa.de/id/qucosa%3A29258.

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Анотація:

This thesis examines three decomposition techniques and their usability for economic and financial time series. The stock index DAX30 and the exchange rate from British pound to US dollar are used as representative economic time series. Additionally, autoregressive and conditional heteroscedastic simulations are analysed as benchmark processes to the real data. Discrete wavelet transform (DWT) uses wavelike functions to adapt the behaviour of time series on different time scales. The second method is the singular spectral analysis (SSA), which is applied to extract influential reconstructed m

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26

Σαψάνης, Χρήστος. "Αναγνώριση βασικών κινήσεων του χεριού με χρήση ηλεκτρομυογραφήματος". Thesis, 2013. http://hdl.handle.net/10889/6420.

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Анотація:

Ο στόχος αυτής της εργασίας ήταν η αναγνώριση έξι βασικών κινήσεων του χεριού με χρήση δύο συστημάτων. Όντας θέμα διεπιστημονικού επιπέδου έγινε μελέτη της ανατομίας των μυών του πήχη, των βιοσημάτων, της μεθόδου της ηλεκτρομυογραφίας (ΗΜΓ) και μεθόδων αναγνώρισης προτύπων. Παράλληλα, το σήμα περιείχε αρκετό θόρυβο και έπρεπε να αναλυθεί, με χρήση του EMD, να εξαχθούν χαρακτηριστικά αλλά και να μειωθεί η διαστασιμότητά τους, με χρήση των RELIEF και PCA, για βελτίωση του ποσοστού επιτυχίας ταξινόμησης. Στο πρώτο μέρος γίνεται χρήση συστήματος ΗΜΓ της Delsys αρχικά σε ένα άτομο και στη συνέχεια

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