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June 10, 2026Journal of Computational and Nonlinear Dynamics

Nonlinear and Noise-Resilient Signal Processing for Enhanced Performance in Autonomous Systems and Underwater Acoustics

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Authors

ARAbilash RadhakrishnanMNMounika NeelamDRDani Jermisha R

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Overview

Randomized trial demonstrates enhanced signal processing performance in autonomous systems, suggesting improved accuracy and robustness.

Key Points

  • Develop advanced signal processing techniques to enhance performance in autonomous systems and underwater acoustics.
  • Implemented Adaptive Bilateral Kernel Filtering, Nonlinear Iterative Partial Least Squares, Reweighted Sparse Signal Decomposition, and Hypergraph Partitioning Algorithm.
  • Focused on noise reduction, data accuracy, and robust communication through advanced processing methods.
  • Utilized Python software for algorithm implementation and energy consumption analysis.
  • Energy consumption peaked around 350 units with varying node counts (6-20) across methods.
  • Adaptive Bilateral Kernel Filtering demonstrated significant noise reduction capabilities.
  • Improvements in signal extraction and data quality were achieved in both environments.

Cite This Study

Radhakrishnan et al. (2026) studied this question.

synapsesocial.com/papers/6a28ff336f82f25be989c291https://doi.org/10.1115/1.4072093
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