1. [n. d.]. RESON TC4013 Hydrophone Product Information. http://www.teledynemarine.com/reson-tc4013. Accessed Feb 2 2021. [n. d.]. RESON TC4013 Hydrophone Product Information. http://www.teledynemarine.com/reson-tc4013. Accessed Feb 2 2021.
2. [n. d.]. USRP X Series. https://www.ettus.com. Accessed Feb 2, 2021 . [n. d.]. USRP X Series. https://www.ettus.com. Accessed Feb 2, 2021.
3. Hiroaki Akutsu , Akifumi Suzuki , Zhisheng Zhong , and Kiyoharu Aizawa . 2020 . Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding . In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE , Seattle, WA, USA, 524–528. https://ieeexplore.ieee.org/document/9150712/ Hiroaki Akutsu, Akifumi Suzuki, Zhisheng Zhong, and Kiyoharu Aizawa. 2020. Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, Seattle, WA, USA, 524–528. https://ieeexplore.ieee.org/document/9150712/
4. Khizar Anjum , Zhile Li , and Dario Pompili . 2022 . Acoustic Channel-aware Autoencoder-based Compression for Underwater Image Transmission. In The Sixth Underwater Communications and Networking Conference (UComms). 1–4. Khizar Anjum, Zhile Li, and Dario Pompili. 2022. Acoustic Channel-aware Autoencoder-based Compression for Underwater Image Transmission. In The Sixth Underwater Communications and Networking Conference (UComms). 1–4.
5. Johannes Ballé Valero Laparra and Eero P Simoncelli. 2015. Density modeling of images using a generalized normalization transformation. arXiv preprint arXiv:1511.06281(2015). Johannes Ballé Valero Laparra and Eero P Simoncelli. 2015. Density modeling of images using a generalized normalization transformation. arXiv preprint arXiv:1511.06281(2015).