Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
The spectral resolution is one of the key index for evaluating the performance of the acoustooptic tunable filter.
光谱分辨率是评价声光可调谐滤波器性能的主要指标之一。
In the design of filter, classical methods are based on Short Time Spectral Analysis (STSA).
在滤波器的设计方面，传统的基于短时谱分析的方法具有易实现，实用性强的特点。
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