时变频谱估计器

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136) Pub Date : 1997-11-02 DOI:10.1109/ACSSC.1997.679147

L. Scharf, B. Friedlander, C. Mullis

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引用次数: 6

摘要

可称为时变频谱估计的二次时频表示(TFRs)是从第一性原理推导出来的。它们是时变多窗谱估计器。在特殊情况下，它们是时变谱图，可以写成滞后窗时变相关序列的傅里叶变换或谱平滑时变周期图。这些并不是为了适应时间的变化而在固定的想法上进行的特别的变化。相反，它们是时变频谱分析所能得到的唯一变化。

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Time-varying spectrum estimators

The quadratic time-frequency representations (TFRs) that may be called time-varying spectrum estimators are derived from first principles. They turn out to be time-varying multiwindow spectrum estimators. In special cases they are time-varying spectrograms that may be written as Fourier transforms of lag-windowed, time-varying correlation sequences or as spectrally smoothed time-varying periodograms. These are not ad-hoc variations on stationary ideas to accommodate time variation. Rather they are the only variations one can obtain for time-varying spectrum analysis.

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Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136)

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