Iatsenko (24 risultati)

Hardcover. Green leatherette over boards; Color illus. dj.; 31 pp. plus plates; 98 color and bw plates. Text in Russian, Ukrainian, and English; Includes an essay about the Ukrainian artist's life and work. VG- (Ex-lib., sticker at bottom left corner of front cover, sticker at bottom left corner of front of dj., bookplate inside front cover).…

Softcover/Paperback. Condizione: Fair. Vsesoyuznyj muzej A.S.Pushkina v Leningrade - odin iz krupnejshikh literaturnykh muzeev ne tolko nashej strany, no i vsego mira. V ego sostav vkhodit neskolko filialov, v tom chisle memorialnye muzei: Litsej i Dacha A.S.Pushkina, raspolozhennye v gorode Pushkine. Litsej vpervye byl otkryt dlya posetitelej v 1949 godu. K 175-letiyu so dnya rozhdeniya poeta, v 1974 godu, byli vosstanovleny pomeshcheniya tretego i chetvertogo etazhej Litseya, gde v osnovnom prokhodila zhizn vospitannikov. Muzej-dacha A.S.Pushkina v dome Kitaevoj otkrylsya v 1958 godu. Novaya memorialnaya ekspozitsiya, sozdannaya v 1981 godu, rasskazyvaet o prebyvanii poeta v Tsarskom Sele letom 1831 goda. V muzee otkryty dva zala, v kotorykh razmeshcheny literaturnye ekspozitsii, posvyashchennye tvorchestvu N.M.Karamzina i V.A.Zhukovskogo.…

Condizione: New. In English.

Condizione: New. In English.

Condizione: New. pp. 160 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.

Condizione: New. pp. 135.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications.…

Hardcover. Condizione: Brand New. 158 pages. 9.25x6.10x0.59 inches. In Stock.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback. Condizione: Brand New. reprint edition. 158 pages. 9.25x6.10x0.38 inches. In Stock.

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications. 160 pp. Englisch.…

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work introduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications. 160 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an outstanding PhD thesis by Lancaster University, UKFree MatLab codes available for all methods used in the bookDetails many important aspects of time-frequency analysis that are often touched upon only briefly in the literatu.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an outstanding PhD thesis by Lancaster University, UKFree MatLab codes available for all methods used in the bookDetails many important aspects of time-frequency analysis that are often touched upon only briefly in the literatu.…

Condizione: New. Print on Demand pp. 160.

Condizione: New. Print on Demand pp. 135.

Condizione: New. PRINT ON DEMAND pp. 160.

Condizione: New. PRINT ON DEMAND pp. 135.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This workintroduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This workintroduces a new method for analysing measured signals: nonlinear mode decomposition, or NMD. It justifies NMD mathematically, demonstrates it in several applications and explains in detail how to use it in practice. Scientists often need to be able to analyse time series data that include a complex combination of oscillatory modes of differing origin, usually contaminated by random fluctuations or noise. Furthermore, the basic oscillation frequencies of the modes may vary in time; for example, human blood flow manifests at least six characteristic frequencies, all of which wander in time. NMD allows us to separate these components from each other and from the noise, with immediate potential applications in diagnosis and prognosis. Mat Lab codes for rapid implementation are available from the author. NMD will most likely come to be used in a broad range of applications.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch.…