Comparison between Fourier and Wavelets Transforms in Biospeckle Signals

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ISSN Print: 2152-7385
ISSN Online: 2152-7393

Website: https://www.scirp.org/journal/am
E-mail: am@scirp.org

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Submission

"Comparison between Fourier and Wavelets Transforms in Biospeckle Signals"
written by Kleber Mariano Ribeiro, Roberto Alves Braga Júnior, Thelma Sáfadi, Graham Horgan,
published by Applied Mathematics, Vol.4 No.11C, 2013

has been cited by the following article(s):

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[10]	Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
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[11]	Biospeckle signal descriptors: a performance comparison
	arXiv preprint arXiv:1411.7522, 2014

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[3]	The effects of ammonia stimulation on kainate-induced status epilepticus and anterior piriform cortex electrophysiology Epilepsy & Behavior, 2020 DOI:10.1016/j.yebeh.2019.106885

[4]	Dynamic speckle analysis with coarse quantization of the raw data Applied Optics, 2020 DOI:10.1364/AO.384204

[5]	3-D optical profilometry at micron scale with multi-frequency fringe projection using modified fibre optic Lloyd’s mirror technique Optics and Lasers in Engineering, 2018 DOI:10.1016/j.optlaseng.2017.12.012

[6]	Application of qualitative biospeckle methods for the identification of scar region in a green orange Modern Physics Letters B, 2018 DOI:10.1142/S0217984918501130

[7]	Algorithm for dynamic Speckle pattern processing Optics and Lasers in Engineering, 2016 DOI:10.1016/j.optlaseng.2016.02.001

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[9]	Performance of intensity-based non-normalized pointwise algorithms in dynamic speckle analysis Optics Express, 2015 DOI:10.1364/OE.23.025128

[10]	Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns International Journal of Computational Intelligence Systems, 2015 DOI:10.1080/18756891.2015.1129589