平稳随机函数和周期性时钟变化

Proceedings of 1994 IEEE International Symposium on Information Theory Pub Date : 1994-06-27 DOI:10.1109/ISIT.1994.394717

B. Lacaze, N. Aakvaag

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引用次数: 1

摘要

各种物理现象的特征是谱线位移或它们的乘法。例如，多普勒效应、塞曼效应和斯塔克效应就是这种情况。作用于平稳随机函数的周期性时钟变化可以作为双边和对称频移的概率模型。

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Stationary random functions and periodic clock changes

Various physical phenomena are characterised by spectral line shifts or their multiplication. This is the case, for instance, with the Doppler effect and the Zeeman and Stark effects. Periodic clock changes acting on stationary random functions can serve as a probabilistic model for bilateral and symmetric frequency shifts.<>

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Proceedings of 1994 IEEE International Symposium on Information Theory

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