本文所介绍的是采用数字通信技术实现船舶水下噪声测量的数据传输。
In this article, we introduce the digital communication technology which accomplish data transfers in the underwater ship noise test.
研究了基于小波域多尺度树结构的水下噪声信号统计概率模型的建模方法。
The statistics modeling method of underwater noise signal is studied. The hidden Markov tree model in wavelet domain is adopted to model the sea noise and various ship-radiated noise.
本文根据随机逼近原理提出了一种自适应卡尔曼滤波器，适用于被动声纳对水下噪声源的跟踪。
A self-adapting Kalman Filter based on the principle of stochastic approximatation is introduced in the paper. This filter provides an ideal means for the tracking of underwater noise source.
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