How to Smooth a graph in origin | Baseline correction | Raman spectra

How to Smooth a graph in origin | Baseline correction | Raman spectra #ScienceAnalysis
Hi,
Welcome to Science & Analysis
In this Video you will learn origin 8.5, How to Smooth a graph in origin | Baseline correction | Raman spectra | Smoothening of spectra in origin | curve smoothening
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how to smooth a graph in origin
how to remove noise from a plot in origin
how to smooth a plot in origin
how to reduce noise in data in origin
smooth a plot,
remove noise, Adjacent Averaging, Savitzky-Golay
Plot smoothing in Origin
How to remove noise from a data in Origin
How to make smooth Raman graph in origin
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Smoothing is a signal processing technique typically used to remove noise from signals. The Smooth tool in Origin provides several methods to remove noise, including Adjacent Averaging, Savitzky-Golay, Percentile Filter, FFT Filter, LOWESS, LOESS, and Binomial method.
These smoothing methods work differently depending on the nature of the signal and the noise contained in the signal. Each method offers a different performance to best show significant aspects of your results. Savitzky-Golay seeks to preserve shapes of peaks; Adjacent Averaging does wide smoothing; while the Percentile Filter (especially 50% percentile filter or median filter) allows you to eliminate noise with abnormal amplitude.
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