Occupational noise is one of the occupational health problems; furthermore, it is one of worldwide environment hazards.
职业噪声不仅属于职业卫生问题，也是当今世界上主要的环境公害之一。
Due to the complexity of the external environment, moving target detected in video surveillance always possessed contour defects, as well as shadow and noise problems.
由于外界环境的复杂性，视频监控中检测出的运动目标往往轮廓缺损，并伴随阴影和噪声等问题。
In deep space communications, one of the problems is how to transmit message credibly in low signal-to-noise ratio (SNR) channel environment.
深空通信中面临的问题之一就是如何在低信噪比信道环境下可靠地传递信息。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment.
本文基于最优估计理论，提出了一种多传感器分散估计融合算法，以解决测量噪声干扰下参数估计问题。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment.
本文基于最优估计理论，提出了一种多传感器分散估计融合算法，以解决测量噪声干扰下参数估计问题。
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