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First Edition
Condition: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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First Edition
hardcover. Condition: GOOD. First Edition. 1994, 1st ed, first print, CRC Press. Hardcover. Contains limited markings/underlining, mainly in first chapter. Hardcover clean and bright, shows light wear. Binding is solid, square. May not include all supplements such as CDs, access codes or DVDs. From the personal collection of former Computer, Engineering & Electrical Dept Professor, Univ of Davis CA. Ships from USA, quickly and with care. Computational Number Theory and Digital Signal Processing: Fast Algorithms and Error Control Techniques. Krishna, Lin, and Sun provide a technical foundation for error control, modular arithmetic, and fast digital signal processing algorithms. Explores number theory applications in computer engineering, encryption, and high-performance computation systems.
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Language: English
Published by Taylor & Francis Inc, 1998
ISBN 10: 0849371783 ISBN 13: 9780849371783
Seller: Buchpark, Trebbin, Germany
Condition: Gut. Zustand: Gut | Seiten: 672 | Sprache: Englisch | Produktart: Bücher | Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences.Digital Signal Processing Algorithms examines three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an excellent reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.
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Published by CRC Press 1998-03-25, 1998
ISBN 10: 0849371783 ISBN 13: 9780849371783
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Published by Taylor & Francis Group, 1998
ISBN 10: 0849371783 ISBN 13: 9780849371783
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Published by Taylor & Francis Group, 1998
ISBN 10: 0849371783 ISBN 13: 9780849371783
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Published by Taylor & Francis Group, 1998
ISBN 10: 0849371783 ISBN 13: 9780849371783
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Hari KrishnaDigital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital.
Buch. Condition: Neu. Digital Signal Processing Algorithms | Number Theory, Convolution, Fast Fourier Transforms, and Applications | Hari Krishna | Buch | Einband - fest (Hardcover) | Englisch | 1998 | CRC Press | EAN 9780849371783 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences.Digital Signal Processing Algorithms examines three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples.Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an excellent reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.