随后它便产生逆向声波从而消除耳机信号中不需要的噪声。
It produces an inverted sound wave to cancel out unwanted noise in the headphone signal.
虽然肯定要比喷气式飞机速度慢一些，但是混合型的飞艇基本上没有噪声，同时起飞和降落都不需要下面的基础设施。
Although certainly slower that hopping on a jet, the hybrid blimps are nearly silent and require very little infrastructure to take off and land.
使用一种修改的ULV更新算法进行噪声子空间跟踪，该算法不需要相关矩阵的秩估计，直接估计噪声子空间。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
此项技术利用了沿地层形成的低相干带和由断层产生的低相干带方向上的差别，通过局部方向扫描和多项式滤波来滤除不需要的低相干带和随机噪声带来的干扰。
Along horizon LCS and differences in directions of LCSs resulted from faults are used to suppress the undesired LCS and random noise through local dip scanning and polynomial filtering.
与已有的融合方法相比，文章提出的神经数据融合方法具有非偏倚的统计特性而且不需要关于噪声协方差的任何先验知识。
Compared with the existing fusion method, the proposed neural data fusion method has an unbiased statistical property and does not require any prior knowledge about the noise covariance.
机组振动小、噪声低，可以直接安装或放置在用气点，不需要专用的压缩机房，与用气设备的连接管路也非常短。
Having small vibration, low noise, can be directly installed or placed in the gas point, does not require a dedicated compressor room, and the gas pipeline connecting device is also very short.
该方法不需要构造参数表达的基函数，而是将具有信号先验知识的模板信号通过滤波器组得到一组基函数来提取隐藏在噪声中的信号。
Using a template signal that contains a prior signal information, a set of nonparametric basis functions are obtained by means of a filter bank.
在红外成像系统中，任何虚假和不需要的信号统称为噪声。
In infrared imaging system, all false and unnecessary signal are called noise.
此方法不需要目标机动的先验知识，而是构造一个可自适应调整的缩放因子，通过该因子对过程噪声进行调节。
This approach does not rely on the prior knowledge to the target motion, and utilizes a zoom factor, which can adjust itself adaptively. By this factor, the process noise covariance can be modified.
此方法不需要目标机动的先验知识，而是构造一个可自适应调整的缩放因子，通过该因子对过程噪声进行调节。
The approach did not rely on prior knowledge about the target motion, and utilized the expectation of the sum of squares of "new value" to construct a zoom factor, which can adjust adaptively.
此方法不需要目标机动的先验知识，而是构造一个可自适应调整的缩放因子，通过该因子对过程噪声进行调节。
The approach did not rely on prior knowledge about the target motion, and utilized the expectation of the sum of squares of "new value" to construct a zoom factor, which can adjust adaptively.
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