@InProceedings{8081624,
  author = {L. Bouffaut and R. Dreo and V. Labat and A. Boudraa and G. Barruol},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Antarctic Blue Whale calls detection based on an improved version of the stochastic matched filter},
  year = {2017},
  pages = {2319-2323},
  abstract = {As a first step to Antarctic Blue Whale monitoring, a new method based on a passive application of the Stochastic Matched Filter (SMF) is developed. To perform Z-call detection in noisy environment, improvements on the classical SMF requirements are proposed. The signal's reference is adjusted, the background noise estimation is reevaluated to avoid operator's selection, and the time-dependent Signal to Noise Ratio (SNR) estimation is revised by time-frequency analysis. To highlight the SMF's robustness against noise, it is applied on a Ocean Bottom Seismometers hydrophone-recorded data and compared to the classical Matched Filter: the output's SNR is maximized and the false alarm drastically decreased.},
  keywords = {bioacoustics;biocommunications;hydrophones;matched filters;seismometers;stochastic processes;time-frequency analysis;underwater sound;stochastic matched filter;Antarctic Blue Whale monitoring;passive application;noisy environment;classical SMF requirements;background noise;time-frequency analysis;SMF robustness;noise ratio estimation;classical matched filter;time-dependent signal;Signal to noise ratio;Noise measurement;Estimation;Whales;Antarctica;Time-frequency analysis;Monitoring},
  doi = {10.23919/EUSIPCO.2017.8081624},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570345881.pdf},
}

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