MLchartDataset catalogue

Noise filtering

Term · Meteorology and atmospheric science · MLC-T-MET-007563

The process of removing unwanted random fluctuations or disturbances from a signal or dataset, often to enhance the clarity of underlying patterns or information. In atmospheric science, this can involve applying mathematical algorithms to meteorological data, such as radar returns or satellite imagery, to reduce interference. Common techniques include moving averages, median filters, and Fourier transforms.

Table 1. Record
IdentifierMLC-T-MET-007563
FieldMeteorology and atmospheric science
See alsoKalman-Bucy filter; Meteorological noise
Record as JSON
{
  "id": "MLC-T-MET-007563",
  "term": "Noise filtering",
  "field": "Meteorology and atmospheric science",
  "definition": "The process of removing unwanted random fluctuations or disturbances from a signal or dataset, often to enhance the clarity of underlying patterns or information. In atmospheric science, this can involve applying mathematical algorithms to meteorological data, such as radar returns or satellite imagery, to reduce interference. Common techniques include moving averages, median filters, and Fourier transforms.",
  "see_also": [
    "Kalman-Bucy filter",
    "meteorological noise"
  ],
  "url": "https://mlchart.com/terminology/meteorology/noise-filtering/"
}

Record 6,557 of 10,816 in Meteorology and atmospheric science terminology (MLC-0110). Request the full dataset.