TY - GEN
T1 - Entropy measures techniques to characterize the vocalizations of synthetic and natural neotropical anurans
AU - Villafañe-Delgado, Marisel
AU - Aceros, César
AU - Rodríguez, Domingo
PY - 2010
Y1 - 2010
N2 - The entropic characterization of the vocalizations of two neotropical anurans, the Eleutherodactylus coquí and the Eleutherodactylus brittoni, is achieved by measuring the entropy of its time-frequency representation. This representation is found by the Cyclic Short Time Fourier Transform (CSTFT) operation. Four different entropies are studied: Shannon, Rènyi, Tsallis-Havrda-Charvát, and Wavelet. Results on entropy measures show no significant structural differences in the waveform of the entropy for the Shannon, Rènyi and Tsallis-Harvda-Charvát, when plotted against time translation indexation. However, it is demonstrated that the wavelet entropy reveal waveform structural changes when compared to the former entropy measures formulations.
AB - The entropic characterization of the vocalizations of two neotropical anurans, the Eleutherodactylus coquí and the Eleutherodactylus brittoni, is achieved by measuring the entropy of its time-frequency representation. This representation is found by the Cyclic Short Time Fourier Transform (CSTFT) operation. Four different entropies are studied: Shannon, Rènyi, Tsallis-Havrda-Charvát, and Wavelet. Results on entropy measures show no significant structural differences in the waveform of the entropy for the Shannon, Rènyi and Tsallis-Harvda-Charvát, when plotted against time translation indexation. However, it is demonstrated that the wavelet entropy reveal waveform structural changes when compared to the former entropy measures formulations.
UR - http://www.scopus.com/inward/record.url?scp=84862192307&partnerID=8YFLogxK
M3 - Ponencia publicada en las memorias del evento con ISBN
AN - SCOPUS:84862192307
SN - 9781617820670
T3 - International Conference on Artificial Intelligence and Pattern Recognition 2010, AIPR 2010
SP - 100
EP - 105
BT - International Conference on Artificial Intelligence and Pattern Recognition 2010, AIPR 2010
T2 - 2010 International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2010
Y2 - 12 July 2010 through 14 July 2010
ER -