Autoregressive Frequency Estimation
研究了从含白噪声的正弦信号中拟合自回归模型后，通过最小化传递函数估计信号频率的统计性质，证明了估计量的强相合性和渐近分布，并验证了常用定阶方法与该渐近理论的兼容性。
Presume that an autoregressive model of given order is fitted to data obtained from a realization of a sinusoidal signal embedded in white noise. This paper investigates the statistical properties of the estimate of the frequency of the signal obtained by minimizing the transfer function of the autoregression. Strong consistency and convergence in distribution of the estimate are established when the order of the autoregression is allowed to increase with sample size at an appropriate rate. It is also shown that the operational characteristics of commonly-used order determination procedures are such as to produce values of the selected order compatible with the application of the asymptotic theory. The outcome of some simulation experiments and an empirical example illustrating the practical impact of the results obtained are also presented.