1. //
  2. Start
  3. //
  4. Publikationen
  5. Median Based Algorithm as an Entropy Fun...
  6. Formate
  7. //

Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation. / Mercorelli, Paolo.
in: International Journal of Mathematics, Game Theory and Algebra, Jahrgang 19, Nr. 5-6, 2010, S. 319-333.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Mercorelli, P 2010, 'Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation', International Journal of Mathematics, Game Theory and Algebra, Jg. 19, Nr. 5-6, S. 319-333. <https://zbmath.org/?q=in%3A276932>

APA

Mercorelli, P. (2010). Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation. International Journal of Mathematics, Game Theory and Algebra, 19(5-6), 319-333. https://zbmath.org/?q=in%3A276932

Vancouver

Mercorelli P. Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation. International Journal of Mathematics, Game Theory and Algebra. 2010;19(5-6):319-333.

Bibtex

@article{6250a9e91e7449b4a75fe5d9abcc490c,
title = "Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation",
abstract = "The noise detection and the data cleaning find application in data compressions for images and voice as well as in their analysis and recognition, data transmission, data reconciliation, fault detection and in general in all application area of the signal processing and measurements. The content of this papercan offer the possibility to improve the state of the art of all those procedures with denoising methods which use a thresholding technique implying a free thresholding one, running in wavelet packets. The author presents a technique which deals with a free thresholding method related to the on-line peaknoise variance estimation even for signals with a small S/N ratio. The second innovative aspect consists of use of wavelet packets which give more elasticity to the technique. The basic idea is to characterize the noise like an incoherent part of the measured signal. It is performed through the wavelet tree by choosing the subspaces where the median value of the wavelet components has minimum. In this sense the proposed median based algorithm can be seen as an entropy function and this analogy is shown. The paper provides to show general properties of the wavelet packets on which the proposed procedure is based. The developed algorithm is totally general even though it is applied by using Haar wavelet packets and it is present in some industrial software platforms to detect sensor outliers because of their easy structure. More, it is currently integrated in the inferential modeling platform of the Advanced Control and Simulation Solution Responsible Unit within ABB{\textquoteright}s (Asea Brown Boveri) industry division.",
keywords = "Engineering",
author = "Paolo Mercorelli",
year = "2010",
language = "English",
volume = "19",
pages = "319--333",
journal = "International Journal of Mathematics, Game Theory and Algebra",
issn = "1060-9881",
publisher = "Nova Science Publishers, Inc.",
number = "5-6",

}

RIS

TY - JOUR

T1 - Median Based Algorithm as an Entropy Function for Noise Detection in Wavelet Trees for Data Reconciliation

AU - Mercorelli, Paolo

PY - 2010

Y1 - 2010

N2 - The noise detection and the data cleaning find application in data compressions for images and voice as well as in their analysis and recognition, data transmission, data reconciliation, fault detection and in general in all application area of the signal processing and measurements. The content of this papercan offer the possibility to improve the state of the art of all those procedures with denoising methods which use a thresholding technique implying a free thresholding one, running in wavelet packets. The author presents a technique which deals with a free thresholding method related to the on-line peaknoise variance estimation even for signals with a small S/N ratio. The second innovative aspect consists of use of wavelet packets which give more elasticity to the technique. The basic idea is to characterize the noise like an incoherent part of the measured signal. It is performed through the wavelet tree by choosing the subspaces where the median value of the wavelet components has minimum. In this sense the proposed median based algorithm can be seen as an entropy function and this analogy is shown. The paper provides to show general properties of the wavelet packets on which the proposed procedure is based. The developed algorithm is totally general even though it is applied by using Haar wavelet packets and it is present in some industrial software platforms to detect sensor outliers because of their easy structure. More, it is currently integrated in the inferential modeling platform of the Advanced Control and Simulation Solution Responsible Unit within ABB’s (Asea Brown Boveri) industry division.

AB - The noise detection and the data cleaning find application in data compressions for images and voice as well as in their analysis and recognition, data transmission, data reconciliation, fault detection and in general in all application area of the signal processing and measurements. The content of this papercan offer the possibility to improve the state of the art of all those procedures with denoising methods which use a thresholding technique implying a free thresholding one, running in wavelet packets. The author presents a technique which deals with a free thresholding method related to the on-line peaknoise variance estimation even for signals with a small S/N ratio. The second innovative aspect consists of use of wavelet packets which give more elasticity to the technique. The basic idea is to characterize the noise like an incoherent part of the measured signal. It is performed through the wavelet tree by choosing the subspaces where the median value of the wavelet components has minimum. In this sense the proposed median based algorithm can be seen as an entropy function and this analogy is shown. The paper provides to show general properties of the wavelet packets on which the proposed procedure is based. The developed algorithm is totally general even though it is applied by using Haar wavelet packets and it is present in some industrial software platforms to detect sensor outliers because of their easy structure. More, it is currently integrated in the inferential modeling platform of the Advanced Control and Simulation Solution Responsible Unit within ABB’s (Asea Brown Boveri) industry division.

KW - Engineering

UR - https://zbmath.org/?q=an%3A1221.94029

M3 - Journal articles

VL - 19

SP - 319

EP - 333

JO - International Journal of Mathematics, Game Theory and Algebra

JF - International Journal of Mathematics, Game Theory and Algebra

SN - 1060-9881

IS - 5-6

ER -

Weitere Publikationen dieser Person(en)

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

Pimentel, G. O., Santos, M. F. D., Lima, J., Mercorelli, P. & Fernandes, F. M., 15.01.2025, in: Sensors. 25, 2, 27 S., 479.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Automatic Tuning of Extended Kalman Filter in Synchronous Reluctance Motor Drives with a Master-Slave Configuration

Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 27.02.2025, (Elektronische Veröffentlichung vor Drucklegung) in: IEEE Open Journal of Power Electronics. 14 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator

Talani, R. A., Kaloi, G. S., Ali, A., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P. & Touti, E., 02.2025, in: Machines. 13, 2, 20 S., 110.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

Zwerger, T. & Mercorelli, P., 01.02.2025, in: Mathematics and Computers in Simulation. 228, S. 178-201 24 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation

Kharrat, M., Krichen, M., Alhazmi, H. & Mercorelli, P., 11.01.2025, (Elektronische Veröffentlichung vor Drucklegung) in: Arabian Journal for Science and Engineering. 11 S.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Links

Zuletzt angesehen

Aktivitäten

  1. Probabilistic and discrete computational methods for studying coherent behavior in flows
  2. Modeling Efficient Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?
  3. Computer Simulations in Design. How Social Media meet Computational Methods in Design Processes
  4. Small Input Devices Used by the Elderly – How Sensorimotor Transformation and Task Complexity Affect Interaction
  5. Computer Simulations in Design. How Social Media meet Computational Methods in Design Processes
  6. Probabilistic and discrete methods for the computational study of coherent behavior in flows
  7. Keynote speech entitled: "A Stabilizing Control Strategy for a Bank System using State Space and Sliding Mode Control Approach with an Extended Kalman Filter"
  8. Is there a threshold effect of time headway on subjective variables for different velocities?
  9. Active Performance in Research and Development: The Value of Contextual Fit
  10. A Coding Scheme to Analyse Global Text Processing in Computer Supported Collaborative Learning: What Eye Movements Can Tell Us
  11. Drafts in Action. Concepts and Practices of Artistic Intervention
  12. Perfect anti-windup in output tracking scheme with preaction
  13. Robustness of coherent sets computations
  14. Maximum-Likelihood-Based Panel Cointegration Testing
  15. Presentation of the paper entitled "Soft Optimal Computing to Identify Surface Roughness in Manufacturing using a Gaussian and a Trigonometric Regressor"
  16. Presentation of the paper entitled "Soft Optimal Computing to Identify Surface Roughness in Manufacturing using a Monotonic Regressor"

Publikationen

  1. Median based algorithm as an entropy function for noise detectionin wavelet trees for data reconciliation
  2. Discourse Analyses in Chat-based CSCL with Learning Protocols
  3. Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant
  4. Emergency detection based on probabilistic modeling in AAL environments
  5. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  6. Age-related differences in processing visual device and task characteristics when using technical devices
  7. Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
  8. Contributions of declarative and procedural memory to accuracy and automatization during second language practice
  9. Supporting discourse in a synchronous learning environment
  10. Analyzing math teacher students' sensitivity for aspects of the complexity of problem oriented mathematics instruction
  11. Emergency detection based on probabilistic modeling in AAL-environments