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中文摘要：
在这篇论文，二条途径被开发因为直接 identifyingsingle 率更新频率的输入是产量采样频率多重的一个整数的双率的随机的在系统当模特儿。第一是概括 Yule-Walkeralgorithm，第二基于关联技术是一个二阶段的算法。基本想法是直接从双率的输入产量数据识别内在的单个率的模型的参数而不是双率的系统的提起的模型，假设测量数据静止、各态历经。一个例子被给。
英文摘要：
In this paper, two approaches are developed for directly identifying single-rate models of dual-rate stochastic systems in which the input updating frequency is an integer multiple of the output sampling frequency. The first is the generalized Yule-Walker algorithm and the second is a two-stage algorithm based on the correlation technique. The basic idea is to directly identify the parameters of underlying single-rate models instead of the lifted models of dual-rate systems from the dual-rate input-output data, assuming that the measurement data are stationary and ergodic. An example is given.
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