Robust PCA
A implementation of robust PCA, useful when the data contains outliers.
Category: Data Correction and Normalisation
Two methods for baseline correction of spectral data
Worked examples of two methods for baseline correction of spectra applied to Raman and XRF data.
Optimal spectra smoothing with Fourier ring correlation
We bring in the concept of Fourier ring correlation for another riff on the optimal settings of smoothing filters.
Spectra smoothing with locally-weighted regression
Locally weighted regression is an approach for smoothing a set of data points by performing a polynomial regression in the vicinity of each point. It does sounds like a …
Wavelet denoising of spectra
On the concept of wavelet transform and decomposition, and its application for denoising of spectra.
Choosing the optimal parameters for a Savitzky–Golay smoothing filter
Setting the parameters of a Savitzky-Golay filter seems more a craft than a science. Here's my method to find an optimal filter, complete with code.
Fourier spectral smoothing method
Meet a fairly unknown member of the spectral smoothing family: the Fourier spectral smoothing method. Learn some theory and Python code implementation.
Savitzky–Golay smoothing method
The secret behind perfect smoothing is a wise choice of parameters. In this tutorial you will learn about the Savitzky–Golay method and the way to optimise its performance
Two scatter correction techniques for NIR spectroscopy in Python
Worked example of two scatter correction techniques for NIR spectroscopy in Python: Multiplicative Scatter Correction and Standard Normal Variate.
