Savitzky-Golay smoothing and differentiation filter for even number data

نویسندگان

  • Jianwen Luo
  • Kui Ying
  • Jing Bai
چکیده

The Savitzky–Golay smoothing and differentiation filter optimally fits a set of data points to a polynomial in the least-squares sense. The Savitzky–Golay filter has been developed and generalized well in the literatures. However, the data subset is subject to an odd number ð2m þ 1Þ: In this communication, the Savitzky–Golay filter is extended for even number data. Simulations are performed to validate the feasibility of such an approach. And some corresponding properties are discussed. r 2005 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Signal Processing

دوره 85  شماره 

صفحات  -

تاریخ انتشار 2005