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  • 标题:Estimation of a Type of Form-Invariant Combined Signals under Autoregressive Operators
  • 本地全文:下载
  • 作者:Yinsheng Zhang ; Jing Yao ; Dongyun Yi
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2013
  • 卷号:3
  • 期号:6
  • 页码:385-389
  • DOI:10.4236/ojs.2013.36045
  • 出版社:Scientific Research Publishing
  • 摘要:We focus on a type of combined signals whose forms remain invariant under the autoregressive operators. To extract the true signal from the autoregressive noise, we develop a strategy to separate parameters and use a two-step least squares approach to estimate the autoregressive parameters directly and then further give the estimate of the signal parameters. This method overcomes the difficulty that the autoregressive noise remains unknown in other methods. It can effectively separate the noise and extract the true signal. The algorithm is linear. The solution of the problem is computationally cheap and practical with high accuracy.
  • 关键词:Form-Invariant Signals; Autoregressive Operator; Autoregressive Noise; Parameter Estimation
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