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Soglasovannaya Identifikatsiya Modeley Mnogokrasochnoy Pechati

AUTHOR Nikonorov Artem
PUBLISHER LAP Lambert Academic Publishing (11/11/2010)
PRODUCT TYPE Paperback (Paperback)

Description
Zadacha vosproizvedeniya tsvetnykh izobrazheniy yavlyaetsya odnoy iz slozhneyshikh v obshchey probleme komp'yuternoy obrabotki izobrazheniy. Osobuyu aktual'nost' eta zadacha priobrela v svyazi s razvitiem tekhnologiy i sistem mnogokrasochnoy pechati. Matematicheskie modeli takikh sistem, polnost'yu udovletvoryayushchie po kachestvu, otsutstvuyut. Izvestnye modeli, kak pravilo, obladayut slozhnoy nelineynoy strukturoy i yavlyayutsya neizoplanatichnymi. Nastoyashchaya rabota posvyashchena postroeniyu protsedur vysokotochnoy identifikatsii modeley tsvetovosproizvedeniya, ne trebuyushchikh zadaniya apriornykh veroyatnostnykh modeley. Razvivaemye metody i algoritmy opirayutsya na ideyu R. Kalmana poiska podsistemy, naibolee svobodnoy ot shuma. Eta zadacha v nastoyashchey rabote reshaetsya putem poiska podsistem, dlya kotorykh otsenki parametrov, vychislennye s ispol'zovaniem razlichnykh vkhodyashchikh v nikh naborov dannykh, okazyvayutsya naibolee soglasovannymi mezhdu soboy. Sootvetstvuyushchie protsedury otbora dannykh, vpervye predlozhennye V.A. Fursovym, nazyvayutsya soglasovannym otsenivaniem ili soglasovannoy identifikatsiey. Dannyy podkhod mozhet byt' polezen dlya shirokogo kruga zadach identifikatsii slozhnykh sistem v usloviyakh apriornoy neopredelennosti.
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Product Details
ISBN-13: 9783843300742
ISBN-10: 3843300747
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: Russian
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Page Count: 140
Carton Quantity: 58
Product Dimensions: 6.00 x 0.33 x 9.00 inches
Weight: 0.47 pound(s)
Country of Origin: US
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Computers | General
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Zadacha vosproizvedeniya tsvetnykh izobrazheniy yavlyaetsya odnoy iz slozhneyshikh v obshchey probleme komp'yuternoy obrabotki izobrazheniy. Osobuyu aktual'nost' eta zadacha priobrela v svyazi s razvitiem tekhnologiy i sistem mnogokrasochnoy pechati. Matematicheskie modeli takikh sistem, polnost'yu udovletvoryayushchie po kachestvu, otsutstvuyut. Izvestnye modeli, kak pravilo, obladayut slozhnoy nelineynoy strukturoy i yavlyayutsya neizoplanatichnymi. Nastoyashchaya rabota posvyashchena postroeniyu protsedur vysokotochnoy identifikatsii modeley tsvetovosproizvedeniya, ne trebuyushchikh zadaniya apriornykh veroyatnostnykh modeley. Razvivaemye metody i algoritmy opirayutsya na ideyu R. Kalmana poiska podsistemy, naibolee svobodnoy ot shuma. Eta zadacha v nastoyashchey rabote reshaetsya putem poiska podsistem, dlya kotorykh otsenki parametrov, vychislennye s ispol'zovaniem razlichnykh vkhodyashchikh v nikh naborov dannykh, okazyvayutsya naibolee soglasovannymi mezhdu soboy. Sootvetstvuyushchie protsedury otbora dannykh, vpervye predlozhennye V.A. Fursovym, nazyvayutsya soglasovannym otsenivaniem ili soglasovannoy identifikatsiey. Dannyy podkhod mozhet byt' polezen dlya shirokogo kruga zadach identifikatsii slozhnykh sistem v usloviyakh apriornoy neopredelennosti.
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