کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565237 875692 2007 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A multiscale polynomial filter for adaptive smoothing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
A multiscale polynomial filter for adaptive smoothing
چکیده انگلیسی

The effectiveness of Savitzky–Golay type symmetric polynomial smoothers is known to be strongly dependent on the window size. Many authors note that selection of the appropriate window size is essential for achieving the correct trade-off between noise reduction and avoiding the introduction of bias. However, it is often overlooked that, in the case of non-stationary signals, the optimal window size will vary with the dynamics of the signal. A multiresolution approach is outlined, along with criteria for varying window size with respect to translation, based on evaluation of the residuals of the smoothed data in the local region. Adaptive window polynomial smoothing is shown to be superior to fixed window smoothing for a test signal at various signal-to-noise ratios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 17, Issue 1, January 2007, Pages 69-75