2013
DOI: 10.1080/09524622.2013.796571
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Characterization of Yellow Seahorse Hippocampus kuda feeding click sound signals in a laboratory environment: an application of probability density function and power spectral density analyses

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Cited by 10 publications
(14 citation statements)
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“…The MFDFA followed herein has several advantages over the standard power spectral density (PSD) analyses, because it reveals scaling behavior and long-range power-law correlation properties in the data. Previous analyses by Chakraborty et al (2014b) have focused on the quantification of single power-law exponent β (i.e., monofractal feature) to characterize the seahorse clicks. On the other hand, results of the present study affirm that the clicks are intrinsically complex and require multiple exponents for its characterization.…”
Section: Resultsmentioning
confidence: 99%
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“…The MFDFA followed herein has several advantages over the standard power spectral density (PSD) analyses, because it reveals scaling behavior and long-range power-law correlation properties in the data. Previous analyses by Chakraborty et al (2014b) have focused on the quantification of single power-law exponent β (i.e., monofractal feature) to characterize the seahorse clicks. On the other hand, results of the present study affirm that the clicks are intrinsically complex and require multiple exponents for its characterization.…”
Section: Resultsmentioning
confidence: 99%
“…The frequency range of H. kuda analyzed in the present study is consistent with the observations reported by Colson et al (1998). The spectrogram analyses appropriately reveal high frequency (>1 kHz) feeding clicks in H. kuda (Chakraborty et al, 2014b) values ( q ranging between -5 to 5) corresponding to the individual seahorse further reveals the apparent multifractal behavior of the feeding clicks [ Fig. 4(b)].…”
Section: B Frequency Range Characteristic Of Seahorse Feeding Clicksmentioning
confidence: 91%
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