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In this study, the multifractal detrended fluctuation analysis (MFDFA) has been implemented to characterize different aquatic animal sounds. Aquatic animal sounds were recorded at Grande Island located off-Mormugao using hydrophone having 20 dB pre-amplifier gain and receiving sensitivity of -185 dB. The fluctuation function Fq(s), Hurst Exponent h(q), multifractal scaling exponent 𝜏(q) and multifractal spectrum f(α) were calculated to analyze and understand the nonlinearities in different marine animal species. The analyses carried out on the aquatic animal sounds show long range power-law correlation properties in the data, proving the multifractal behavior. The multifractal spectrum of different marine animal species related width parameter, Δh(q), Width (W), Asymmetry (B) is well clustered, defining the individual aquatic animal sound. The highest degree of multifractality is evident in the Terapon theraps having Δh(q)=1.03 and W=1.43 followed by Toadfish (Δh(q)=0.98, W=1.42), Sciaenidae (Δh(q)=0.85, W=1.21) and Barred grunt (Δh(q)=0.81, W=1.17).
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