Finally, an iterative algorithm of estimated parameters in the strictly stationary return sequences, which error terms are subject to ar (1) is put forward.

最后给出了误差项服从AR(1)时的严平稳收益序列中参数的一个迭代算法。

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The simulation results using Moving and Stationary Target Acquisition and Recognition (MSTAR) data indicate that the error of the proposed method is small, and thus it has high accuracy.

移动与静止目标获取与识别（MSTAR）公共数据库实测数据的仿真结果表明，该方法估计误差较小，可获得较高的估计准确度。

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In the same time, a sliding pitch analysis window method is used, so it can reduce the pitch detection error in non-stationary speech segments with irregular pitch.

同时又采用了滑动窗的方法，使得对基音周期不规则的不平稳的语音段进行基音周期估计时的误差减小。

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