It took a while, but I'm finally back to writing my blog 😎
The first installment for 2026 is an easy introduction to calculating information #entropy for optical spectra (or for any signal, really).
In my blog, I focus on #data analysis (#chemometrics, machine learning) applied to optical and near-infrared #spectroscopy Smoothing, or denoising, is one of the most common steps to work with spectroscopy data, and information entropy can be used as a criterion to guide the smoothing process.
Better still, the entropy of the derivative of a signal can help with that, because it accounts for the shape of the signal more naturally.
Read more at https://nirpyresearch.com/information-entropy-spectra/
#MachineLearning #NIR #Physics