Piecewise constant line fitting on noisy ramped signals by particle swarm optimization
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28202
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.
Particle swarm optimization (PSO)