Kalman filter
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Kalman filter
Summary
Kalman filter is an algorithm[1]. It ranks in the top 0.3% of algorithm entities by monthly Wikipedia readership (2,123 views/month, #1 of 337).[2]
Key Facts
- Kalman filter's image is recorded as Basic concept of Kalman filtering.svg[3].
- Kalman filter's instance of is recorded as algorithm[4].
- Rudolf E. Kálmán is named after Kalman filter[5].
- Kalman filter's GND ID is recorded as 4130759-8[6].
- Kalman filter's Library of Congress authority ID is recorded as sh85071360[7].
- Kalman filter's subclass of is recorded as filter[8].
- Kalman filter's subclass of is recorded as estimator[9].
- Kalman filter's NDL Authority ID is recorded as 001096900[10].
- Kalman filter's has use is recorded as state of charge[11].
- Kalman filter's Commons category is recorded as Kalman filters[12].
- Kalman filter's BNCF Thesaurus ID is recorded as 52885[13].
- Kalman filter's Freebase ID is recorded as /m/018p__[14].
- Kalman filter's NL CR AUT ID is recorded as ph184916[15].
- Kalman filter's Gran Enciclopèdia Catalana ID is recorded as 0262796[16].
- Kalman filter's Stack Exchange tag is recorded as https://stackoverflow.com/tags/kalman-filter[17].
- Kalman filter's MathWorld ID is recorded as KalmanFilter[18].
- Kalman filter's JSTOR topic ID is recorded as kalman-filters[19].
- Kalman filter's STW Thesaurus for Economics ID is recorded as 19577-6[20].
- Kalman filter's maintained by WikiProject is recorded as WikiProject Mathematics[21].
- Kalman filter's Microsoft Academic ID is recorded as 157286648[22].
- Kalman filter's National Library of Israel J9U ID is recorded as 987007538686705171[23].
- Kalman filter's Lex ID is recorded as Kalmanfilter[24].
- Kalman filter's GitHub topic is recorded as kalman-filter[25].
- Kalman filter's OpenAlex ID is recorded as C157286648[26].
- Kalman filter's Encyclopedia of China is recorded as 56100[27].
Body
Designation and Status
Kalman filter's instance of is recorded as algorithm[4].
History and Context
Rudolf E. Kálmán is named after Kalman filter[5].
Why It Matters
Kalman filter ranks in the top 0.3% of algorithm entities by monthly Wikipedia readership (2,123 views/month, #1 of 337).[2] It has Wikipedia articles in 25 language editions, a strong signal of global cultural recognition.[28] It is known by 17 alternative names across languages and contexts.[29]