Title :
Reconstructing irregularly sampled laser Doppler velocimetry signals by using artificial neural networks
Author :
Peña, F. López ; Bellas, F. ; Duro, R.J. ; Simó, M. Sánchez
Author_Institution :
Escuela Politecnica Superior, Univ. da Coruna, Ferrol
Abstract :
The analysis of turbulent flow signals irregularly sampled by a laser Doppler velocimeter is assessed by means of ANNs. This technique has been proven to correctly predict the time evolution of turbulent signals. We are taking advantage of this ability to obtain models of unevenly sampled signals and thus be able to reconstruct and resample them at a regular pace in order to allow for their conventional analysis
Keywords :
laser Doppler anemometry; laser velocimeters; laser velocimetry; neural nets; signal reconstruction; signal sampling; turbulence; ANN; artificial neural network; conventional analysis; laser Doppler velocimeter; turbulent flow signals; turbulent signal time evolution; unevenly sampled signals; Artificial neural networks; Laser beams; Laser velocimetry; Light scattering; Linear discriminant analysis; Optical scattering; Particle beams; Particle measurements; Signal analysis; Velocity measurement;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings of the Second IEEE International Workshop on
Conference_Location :
Lviv
Print_ISBN :
0-7803-8138-6
DOI :
10.1109/IDAACS.2003.1249526
