高密度数据的无假频特征更加适合于常规二维信噪分离方法。
Seismic data of dense spatial sample is more suitable to conventional 2-D methods for separation of signal and noise.
如何对混合信号进行信噪分离，是目前业界普遍关注和研究的问题。
At present, the problem popularly focused on and studied in industry is how to separate signals and noise for mixed signals.
实践证明：该电路能有效地实现高频方波信号与尖峰脉冲干扰信号的信噪分离。
The practice proves that this circuit is effective for separation of high-frequency square wave signals and peak pulse interference signals.
由于语音信号是准周期的非平稳信号 ，因此按频带对含噪语音信号实现信噪分离是语音消噪的?。
Thus the noise parts during the frequency intervals that decrease hearing quality mostly are reduced efficiently, and the SNR of denoised speech are increased.
该方法利用信号与噪声具有不同循环频率的特性实现了信噪分离，能够比较容易地从复杂背景中提取出微弱的特征信息。
Then one-dimensional and two-dimensional cyclostationary features of faults are put forward and they can be used to separate useful signals from noise and detect weak faults easily.
利用局域波法将微弱的故障信号分解为有限的并且具有不同基本模式的分量，每个分量是单一成分信号，实现了信噪分离。
Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise.
利用局域波法将微弱的故障信号分解为有限的并且具有不同基本模式的分量，每个分量是单一成分信号，实现了信噪分离。
Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise.
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