Deconvolution
Term · Environment · MLC-T-ENV-007469
1. A data processing technique applied to seismic reflection data to improve the detection and resolution of reflected events. The process reverses the effect of linear filtering processes (convolution) that have been applied to the data by recording instruments or other processes.
2. The process of removing the influence of extraneous variation from an apparent cumulative distribution. Extraneous variation--such as random errors in measurement--has the effect of inflating observed variation relative to true population variation. The cumulative distribution that will be estimated when extraneous variation is present is the convolution of the population distribution (which is the cumulative distribution of interest) and the distribution of the extraneous variable. The convolution cumulative distribution will be flatter (have longer tails) than the population cumulative distribution.
3. Process of removing the influence of extraneous variation from an apparent cumulative distribution. Extraneous variation--such as random errors in measurement--has the effect of inflating observed variation relative to true population variation. The cumulative distribution that will be estimated when extraneous variation is present is the convolution of the population distribution (which is the cumulative distribution of interest) and the distribution of the extraneous variable. The convolution cumulative distribution will be flatter (have longer tails) than the population cumulative distribution.
| Identifier | MLC-T-ENV-007469 |
|---|---|
| Field | Environment |
| Subject | Science and research |
| References | Environmental Geophysics Glossary; Environmental Modeling and Assessment Program (EMAP) Master Glossary; EMAP Master Glossary |
Record as JSON
{
"id": "MLC-T-ENV-007469",
"term": "Deconvolution",
"field": "Environment",
"definition": "1. A data processing technique applied to seismic reflection data to improve the detection and resolution of reflected events. The process reverses the effect of linear filtering processes (convolution) that have been applied to the data by recording instruments or other processes.\n\n2. The process of removing the influence of extraneous variation from an apparent cumulative distribution. Extraneous variation--such as random errors in measurement--has the effect of inflating observed variation relative to true population variation. The cumulative distribution that will be estimated when extraneous variation is present is the convolution of the population distribution (which is the cumulative distribution of interest) and the distribution of the extraneous variable. The convolution cumulative distribution will be flatter (have longer tails) than the population cumulative distribution.\n\n3. Process of removing the influence of extraneous variation from an apparent cumulative distribution. Extraneous variation--such as random errors in measurement--has the effect of inflating observed variation relative to true population variation. The cumulative distribution that will be estimated when extraneous variation is present is the convolution of the population distribution (which is the cumulative distribution of interest) and the distribution of the extraneous variable. The convolution cumulative distribution will be flatter (have longer tails) than the population cumulative distribution.",
"subject": "Science and research",
"references": [
"Environmental Geophysics Glossary",
"Environmental Modeling and Assessment Program (EMAP) Master Glossary",
"EMAP Master Glossary"
],
"url": "https://mlchart.com/terminology/environment/deconvolution/"
}
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