Baseline Correction Algorithms for Spectroscopy and Spectrometry

A collection of baseline correction algorithms for removing background effects from spectra. The package includes a framework and a Tcl/Tk GUI for optimizing algorithm parameters. It was created by Kristian Hovde Liland.

Use Cases

• Remove background noise from spectra based on the described correction methods.
• Optimize baseline algorithm parameters for regression or classification tasks as mentioned in the description.
• Apply polynomial fitting or weighted local smoothers to preprocess spectrometry data.

Strengths

• Includes multiple correction methods such as polynomial fitting and weighted local smoothers.
• Provides a framework and GUI for parameter optimization.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kristian Hovde Liland

Collection Method

Collection of algorithms and software tools.