Measurement processing is a methodological approach and academic concept focused on the systematic application of computational, statistical, and signal processing techniques to raw measurement data. It involves operations such as noise reduction, error correction, calibration, feature extraction, and data fusion to transform initial observations into refined, reliable, and interpretable information, serving as a critical intermediate step between data acquisition and subsequent analysis, modeling, or control systems.