Benjamin nagarajan (9 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 72.
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Taschenbuch. Condizione: Neu. Classical Music Classification using DSP Techniques | Digital Signal Processing Techniques applied to Music | Benjamin Nagarajan | Taschenbuch | 72 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846580509 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42,…22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to pr…oceed with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work. 72 pp. Englisch.
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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EUR 78,06
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Condizione: New. Print on Demand pp. 72 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 78,65
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Condizione: New. PRINT ON DEMAND pp. 72.
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nagarajan BenjaminBenjamin Nagarajan (a.k.a. Ben Rage) is a programmer, composer, author, artist and a film director who resides in Toronto. After graduating from BITS Pilani, Dubai, and completing a c…lassical music certificate from .
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to procee…d with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 49,59
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The classification of music is a vital part of Music Information Retrieval. We have a number of ways to classify music based on its features either audible or extracted and viewed. We can use Low or High level characteristics to proceed… with this classification. We also select the salient themes in a track to portray its content and classify it. There is a link between certain features we use for classification and determining the beat of a track. All three processes have been used with a relatively high accuracy every time, with the exception of jazz and classical music due to its unstructured and complex content. More features can be selected and used in its classification. Another possible way of classification is by using spectral plots of the features of a signal which is again obtained by processing the signal and then plotting the information received. This method is more efficient method of classification of classical music because of the distinct forms of plots generated in the processing of the signal. This approach is discussed in this scholarly work.
