目前，利用混沌振子检测微弱信号的两种方法分别是：基于系统相轨迹变化的方法和基于系统特征指数的方法。
There are two kinds of methods in detection for weak signals based on chaos: one is based on phase transition of the chaotic system, the other is to use some characteristic exponent of the system.
分析了检测信号的特征，并采用截止频率法成功地提取了微弱的缺陷回波信号。
The characteristics of the test signals were analyzed and weak defect echo signals were successfully extracted by cut-off frequency technique.
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.
强噪声背景下微弱特征信号检测一直是工程应用领域的难题。
Weak characteristic signal detection embedded in strong noise has been the problems of engineering applications.
强噪声背景下微弱特征信号检测一直是工程应用领域的难题。
Weak characteristic signal detection embedded in strong noise has been the problems of engineering applications.
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