信号处理领域的很多时间序列都可以用循环平稳来建模，这是因为对信号的离散采样、扫描、调制、多址、编码以及物理现象固有的周期性都使信号呈现出周期性。循环平稳信号是一类非常重要的平稳信号，许多信号、干扰都表现出一定的循环平稳性，将信号的这种特性考虑在内的信号处理器，较之传统的信号处理器，可以得到性能上的提高。该文简要介绍了循环平稳信号的基本特性，主要介绍了该理论在各领域的具体应用。

Many time series encountered in the field of signal processing can be modelled via cyclostationarity because the periodicities due to various periodic signal processing operations, such as discrete sampling, scanning, modulation, multi-addressing and coding, or the underlying periodicities in the physical phenomenon present the signals with periodicities. The cyclostationary signal is an important kind of stationary signals, and many signals and jamming present the cyclostationarities to a certainty. The signal processor with this kind of characteristics considered has advantages over the traditional signal processor in performance. The fundamental properties of cyclostationary signal are briefly introduced, and the detailed applications of the theory in various fields are mainly introduced.

TN957.52

国家级自然科学基金资助项目（N0：60002002）;二炮科研基金资助项目.