Curve Smooth Denoising Based on Savitzky-Golay Algorithm
Lei Lin-pin
Abstract
Lei Lin-pin
Abstract
Savitzky-Golay algorithm is widely used in smoothing and removing noise for data stream. It is a time domain filtering method based on local polynomial least squares fitting. Simulation results show that compared with traditional algorithms, Savitzky-Golay algorithm has a more stable and error smaller denoising smoothing effect.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Savitzky-Golay algorithm is widely used in smoothing and removing noise for data stream. It is a time domain filtering method based on local polynomial least squares fitting. Simulation results show that compared with traditional algorithms, Savitzky-Golay algorithm has a more stable and error smaller denoising smoothing effect.
Key concepts: Binary Golay code, Smoothing, Algorithm, Noise reduction, Noise (video), Computer science, Polynomial, Mathematics