gerald schuller (55 resultados)

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Hardcover. Condición: new. Hardcover. This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.Comprehensively explains the fundamentals of filter banks and audio coding;Provides Python examples for each principle so that completed audio coders are obtained in the language;Includes a suite of classroom materials including exercises, experiments, and examples. This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condición: New.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.Comprehensively explains the fundamentals of filter banks and audio coding;Provides Python examples for each principle so that completed audio coders are obtained in the language;Includes a suite of classroom materials including exercises, experiments, and examples.

Taschenbuch. Condición: Neu. Filter Banks and Audio Coding | Compressing Audio Signals Using Python | Gerald Schuller | Taschenbuch | xi | Englisch | 2021 | Springer | EAN 9783030512514 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: Very Good. Original stapled illustrated souvenir theatre programme. 9½'' x 7''. 20 printed pages with monochrome photographs throughout. In Very Good condition. Flyer for 'Carousel' loosely inserted. Member of the P.B.F.A. THEATRE PROGRAMMES.

Hardcover. Condición: Brand New. 197 pages. 9.25x6.10x0.87 inches. In Stock.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.Comprehensively explains the fundamentals of filter banks and audio coding;Provides Python examples for each principle so that completed audio coders are obtained in the language;Includes a suite of classroom materials including exercises, experiments, and examples.

Hardcover. Condición: Brand New. 163 pages. 6.14x0.44x9.21 inches. In Stock.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a comprehensive understanding of multirate signal processing, focusing on practical applications and real-world examples implemented in Python. The book covers fundamental and advanced topics such as filter banks, sampling theory, and z-domain analysis, making it ideal for graduate-level courses and professionals. Through a combination of theoretical insights and Python-based examples, readers gain both the conceptual understanding and practical skills needed to apply multirate techniques in fields like audio coding, telecommunications, and machine learning. Ancillaries include homework problems, Python code examples, a Github repository with Colab Not Elektronisches Buch, and a chatbot for asking questions and finding answers quickly.Offers a detailed, application-focused guide to multirate signal processing, with examples implemented in Python;Covers advanced applications in audio, telecommunications, and machine learning;Includes Python code examples, a book chatbot, and a Github repository with Colab Not Elektronisches Buch.

Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: New. 1. Aufl. 2023 edition NO-PA16APR2015-KAP.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dieses Lehrbuch stellt die Grundlagen der Audiocodierung vor, die zur Komprimierung von Audio- und Musiksignalen verwendet wird. Dabei werden Python-Programme sowohl als Beispiele zur Veranschaulichung der Prinzipien als auch für Experimente für den Leser verwendet. Zusammen bilden diese Programme dann komplette Audiocodierer. Der Autor beginnt mit grundlegenden Kenntnissen der digitalen Signalverarbeitung (Abtastung, Filterung), um eine gründliche Einführung in Filterbänke, wie sie in der Audiocodierung verwendet werden, und deren Entwurfsmethoden zu geben. Er fährt dann mit der nächsten Kernkomponente fort, den psycho-akustischen Modellen. Der Autor zeigt schließlich, wie man sie entwirft und implementiert. Schließlich beschreibt der Autor Komponenten für speziellere Kodierer, wie die Integer-to-Integer MDCT-Filterbank und prädiktive Kodierung für verlustfreie und verzögerungsarme Kodierung. Zu jedem Abschnitt gibt es Python-Programmbeispiele, die die Prinzipien veranschaulichen und die Werkzeuge für Experimente bereitstellen. Umfassende Erläuterung der Grundlagen von Filterbänken und Audiocodierung; Bietet Python-Beispiele für jedes Prinzip, so dass fertige Audiocodierer in der Sprache erhalten werden; Enthält eine Reihe von Unterrichtsmaterialien mit Übungen, Experimenten und Beispielen.

Hardcover. Sehr guter Zustand. BITTE BEACHTEN: KEIN VERSAND AUSSERHALB EU - PLEASE NOTE: NO SHIPPING OUTSIDE EUROPEAN UNION. Pappband, 846 Seten. 24,3 x 17,5 cm. Beiträge zur Architektur-, Kunst- und Kulturgeschichte von der Antike bis zur Gegenwart: Gewicht: 1750.

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Deutsch | Produktart: Bücher | Dieses Lehrbuch stellt die Grundlagen der Audiocodierung vor, die zur Komprimierung von Audio- und Musiksignalen verwendet wird. Dabei werden Python-Programme sowohl als Beispiele zur Veranschaulichung der Prinzipien als auch für Experimente für den Leser verwendet. Zusammen bilden diese Programme dann komplette Audiocodierer. Der Autor beginnt mit grundlegenden Kenntnissen der digitalen Signalverarbeitung (Abtastung, Filterung), um eine gründliche Einführung in Filterbänke, wie sie in der Audiocodierung verwendet werden, und deren Entwurfsmethoden zu geben. Er fährt dann mit der nächsten Kernkomponente fort, den psycho-akustischen Modellen. Der Autor zeigt schließlich, wie man sie entwirft und implementiert. Schließlich beschreibt der Autor Komponenten für speziellere Kodierer, wie die Integer-to-Integer MDCT-Filterbank und prädiktive Kodierung für verlustfreie und verzögerungsarme Kodierung. Zu jedem Abschnitt gibt es Python-Programmbeispiele, die die Prinzipien veranschaulichen und die Werkzeuge für Experimente bereitstellen. Umfassende Erläuterung der Grundlagen von Filterbänken und Audiocodierung; Bietet Python-Beispiele für jedes Prinzip, so dass fertige Audiocodierer in der Sprache erhalten werden; Enthält eine Reihe von Unterrichtsmaterialien mit Übungen, Experimenten und Beispielen.

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

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

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook presents the fundamentals of audio coding, used to compress audio and music signals, using Python programs both as examples to illustrate the principles and for experiments for the reader. Together, these programs then form complete audio coders. The author starts with basic knowledge of digital signal processing (sampling, filtering) to give a thorough introduction to filter banks as used in audio coding, and their design methods. He then continues with the next core component, which are psycho-acoustic models. The author finally shows how to design and implement them. Lastly, the author goes on to describe components for more specialized coders, like the Integer-to-Integer MDCT filter bank, and predictive coding for lossless and low delay coding. Included are Python program examples for each section, which illustrate the principles and provide the tools for experiments.Comprehensively explains the fundamentals of filter banks and audio coding;Provides Python examples for each principle so that completed audio coders are obtained in the language;Includes a suite of classroom materials including exercises, experiments, and examples. 212 pp. Englisch.