Decreasing noise in acoustic underwater transmissions using deep neural networks

The accuracy and reliability of ocean communications and transmissions are affected by many sources of offshore distortion and background noise. Decreasing this interference in ocean transmissions is dependent on the process of channel estimation, or the assessment of background channel characteristics that may distort or interfere with the received signal. Recent modeling has enhanced channel estimation performance using deep neural networks and improved the denoising of ocean transmissions.

accuracy communications machine learning & ai networks neural networks noise ocean process reliability signal