Selection and Recognition of Statistically Defined Signals in Learning Systems

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Valeriy Bezruk
  • Anatolii Omelchenko
  • Oleksii Fedorov
  • Paolo Mercorelli
  • Juan Ivan Nieto Hipólito
The paper addresses a non-traditional problem of pattern recognition, when information about pattern is represented in the form of a random signal taken from the output of a corresponding physical sensor. It is supposed that there exist two types of signal to recognize, namely, specified in the statistical sense signals and totally unknown signals. Such the conditions are called conditions of increased a priory uncertainty. Developing a technique to recognize specified signals in conditions of increased a priory uncertainty is the objective of this paper. Methods for selection and recognition of a statistically defined random signal are proposed for the cases when signal description is done by various probabilistic models. Additional consideration is given to peculiarities of employing these methods for solving applied problems of pattern recognition in radar, medical diagnostics and speaker identification.
Original languageEnglish
Title of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society : Proceedings
Number of pages6
Place of PublicationPiscataway
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date26.12.2018
Pages3211-3216
Article number8591321
ISBN (print)978-1-5090-6685-8
ISBN (electronic)978-1-5090-6684-1, 978-1-5090-6683-4
DOIs
Publication statusPublished - 26.12.2018

    Research areas

  • Engineering - radio location, pattern recognition, random signal, probalistic model, decision rule

Recently viewed

Publications

  1. Using protochirons for three-dimensional coding of certain chemical structures.
  2. Differences Between Classical and Bayesian Estimates for Mixed Logit Models
  3. Design of controllers applied to autonomous unmanned aerial vehicles using software in the loop
  4. Solving mathematical problems with dynamical sketches
  5. On the Inclusion of Parameter Uncertainties into Engineering Design Computations
  6. Combining flatness based feedforward action with a fractional PI regulator to control the intake valve engine
  7. Methodological support for the selection of simplified equations of state for modeling technical fluids
  8. Implicit Mental Processes in Ethical Management Behavior
  9. Sensor concept for solving the direct kinematics problem of the Stewart-Gough platform
  10. Next generation catalogues: what do users think?
  11. Frame Diffusion
  12. Chip extrusion with integrated equal channel angular pressing
  13. Crowdsourcing
  14. Influences of yttrium content on microstructure and mechanical properties of as-cast Mg–Ca–Y–Zr alloys
  15. Beyond the Network
  16. Can we use isotopes to capture the speed of link between photosynthesis and soil respiration?
  17. Eye Movements During Mathematical Word Problem Solving-Global Measures and Individual Differences
  18. New Research on the Deep Seabed and Its Resources
  19. Priority Rule-based Planning Approaches for Regeneration Processes
  20. Model-based Analysis of Reassembly Processes within the Regeneration of Complex Capital Goods
  21. The Impact of Mental Fatigue on Exploration in a Complex Computer Task
  22. Soziale Netzwerkanalyse
  23. New prototype of the two-legged robot centaurob
  24. The planar Multipole Resonance Probe
  25. Optimization of transport flow on two paths with respect to the passengers time costs
  26. Dissolved carbon leaching from soil is a crucial component of the net ecosystem carbon balance