nonstationary gaussian noise 非标准高斯噪声
The systems disturbed by nonstationary noise are often encountered in the practical identification.
在辨识实际系统时，非平稳噪声扰动是较多见的。
This algorithm doesn't need priori knowledge or reference channel, and it can be used in the stationary or nonstationary noise environment.
该算法无需先验知识和参考信道，且对平稳或非平稳噪声均适用。
The method differs from traditional FFT transform in its capability to analyze nonstationary noise signals of faulty mechatronics equipments. It offers a way for noise monitoring and fault diagnosis.
该方法不同于传统的基于FFT分析的声强计算方法，可以实现对非平稳故障噪声信号的分析，为机电设备的噪声监测和故障诊断提供了一条研究途径。
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