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The use of adaptive Erblet transform with application to ecological data.

, , and . ISSPIT, page 317-322. IEEE, (2016)

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New approaches for spectro-temporal feature extraction with applications to respiratory sound classification., , and . Neurocomputing, (2014)Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Context-Aware Processing and Communication Gateway., , , , , , and . AIS, volume 7326 of Lecture Notes in Computer Science, page 42-49. Springer, (2012)Log-frequency spectrogram for respiratory sound monitoring., , and . ICASSP, page 597-600. IEEE, (2012)Marine mammal sound anomaly and quality detection using multitaper spectrogram and hydrophone big data., , and . PACRIM, page 1-6. IEEE, (2017)A robust respiratory phase identification scheme based on a new mixing index., , , and . EUSIPCO, page 637-641. IEEE, (2009)Transparent information hiding with automatic embedding range selection for ownership verification., , , and . ICIP, page 2657-2660. IEEE, (2004)Heart Sound localization from Respiratory Sound using a robust wavelet based approach., , , and . ICME, page 381-384. IEEE Computer Society, (2008)Blind separation of temporomandibular joint sound signals., , and . ICASSP, page 1069-1072. IEEE Computer Society, (1999)Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Information Gathering and Data Fusion., , , , , , and . AIS, volume 7326 of Lecture Notes in Computer Science, page 34-41. Springer, (2012)System-level design of low-cost FPGA hardware for real-time ICA-based blind source separation., and . SoCC, page 139-140. IEEE, (2004)