Optimal and Near-Optimal Signal Detection in Snapping Shrimp Dominated Ambient Noise
By Mandar A. Chitre, J. Potter, S. Ong. IEEE Journal of Oceanic Engineering, 2006
207 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Oceanography, Signal Processing
View Paper: https://www.semanticscholar.org/paper/00c1074a0317eb07bd0497a62376906dd148f2f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Konstantinos Pelekanakis
- Milica Stojanovic
- Shiraz Shahabudeen
- Yi Yu
- Haiquan Zhao
- R. D. de Lamare
- Mandar A. Chitre
- Lu Lu
In Oceanography
- Shiraz Shahabudeen
- Mandar A. Chitre
- Konstantinos Pelekanakis
- Milica Stojanovic
- Fengzhong Qu
- Liuqing Yang
- Yerramalli Srinivas
- Urbashi Mitra
In Signal Processing
- Konstantinos Pelekanakis
- Milica Stojanovic
- Shiraz Shahabudeen
- Yi Yu
- Haiquan Zhao
- R. D. de Lamare
- Mandar A. Chitre
- Lu Lu
Citations in the corpus
- Underwater Acoustic Communications and Networking: Recent Advances and Future Challenges (2008, methodology): “In one initiative an underwater network architecture (UNA) for modem network layers was proposed to standardize inter-layer messages (Chitre et al., 2006).”
- Robust Equalization of Mobile Underwater Acoustic Channels (2015, methodology): “Parameters and can be estimated from the ambient noise using fractile-based estimators [26].”
- Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks (2018, background): “Other examples are keyboard clicking or pen dropping in teleconference [20], double-talk in echo cancellation [21], biological noise [22] or ice cracking [23] in various underwater signals, out-of-band spectral leakage in CR [24], etc.”