The utilization of machine learning in analyzing ship radiated noise (SR-N) is undergoing
rapid evolution. Because the omnipresent background noise strongly depends on the highly …

Underwater acoustic signal denoising technology aims to overcome the challenge of
recovering valuable ship target signals from noisy audios by suppressing underwater …

In the deep ocean, a vector sensor is deployed near the seabed to receive direct waves from
the reliable acoustic path (RAP). In the space domain, the vector sensor can estimate the …

Multitarget tracking is an important task for autonomous underwater vehicles (AUVs). Due to
the limited space on AUVs, the aperture of the sonar array mounted on an AUV is small. The …

The immeasurable energy‐saving potential of industrial parks and commercial buildings
with unprecedented growth in scale and quantity can be well exploited by load …

The low frequency line spectrum noise radiated by ships has strong stability and is difficult to
eliminate, which is the key information required for passive signal detection. A vector …

为提高被动声纳对水下低噪声安静型目标的检测, 研究者开始关注基于深度学习的线谱增强方法
, 其中, 基于LSTM 的线谱增强网络由于同时具有时域和频域的非线性处理能力 …

Deep learning-based line spectrum enhancement methods have received increasing
attention for improving the detection performance of underwater low-noise targets using …

해상경계감시는 국가 안보에 매우 중요한 관심사로, 감시 및 정찰을 위한 다양한 방법의 배치를
필요로 한다. 연안 감시 작전에서 잠수함은 은밀한 기동을 수행하고 수중 센서를 통해 해상 …