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      • Department of Electrical and Electronics Engineering
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      Piecewise constant line fitting on noisy ramped signals by particle swarm optimization

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      Author(s)
      Özer, Berk
      Altıntaş, Ayhan
      Moral, Gökhan
      Arıkan, Orhan
      Date
      2012
      Source Title
      2012 20th Signal Processing and Communications Applications Conference (SIU)
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      In this study, Particle Swarm Optimization(PSO) is proposed for change point (edge) detection on noisy ramped signals. By taking moving averages between detected edges, noise on ramped signals is filtered and desired piecewise constant signals are acquired. It is required to detect edges in the immediate vicinity of actual edges. Performance of PSO is measured by the difference between estimated and actual position of edges. It is not possible to satisfy such a condition by standard PSO. Hence, in this work, two modifications to standard PSO are proposed: "PSO with uniformly distributed position vectors" and "Cascading PSO". Throughout this work, all implementations are done on real signals which indicate generated powers by plants. © 2012 IEEE.
      Keywords
      Change-points
      Line fitting
      Moving averages
      Piecewise constant
      Position vector
      Real signals
      Standard PSO
      Particle swarm optimization (PSO)
      Signal detection
      Permalink
      http://hdl.handle.net/11693/28202
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2012.6204603
      Collections
      • Communications and Spectrum Management Research Center (ISYAM) 22
      • Department of Electrical and Electronics Engineering 3702
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