What Is a Savitzky-Golay Filter? [Lecture Notes]
By R. Schafer. IEEE Signal Processing Magazine, 2011
1,331 citations recorded by the source corpus.
Subfields: Computational Mechanics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/dbdf99f2e1f810766226e0f8fd5a0346fcd9b4e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
In Signal Processing
Citations in the corpus
- Inferring transportation modes from GPS trajectories using a convolutional neural network (2018, methodology): “For each data point of a sequence, the method fits a polynomial to a set of input samples laid over an odd-sized window centered at the subject point (Schafer, 2011).”
- Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress (2017, methodology): “Savitszky-Golay proposed a method for smoothing noisy data by fitting local polynomials to a sub set of the input data then evaluating the polynomial at a single point to smooth the signal [34].”
- Why Braking? Scenario Extraction and Reasoning Utilizing LLM (2025, unknown): “Then, a Savitzky-Golay smoothing algo-rithm [16] is employed to denoise the data while preserving sharp motion transitions.”