Hardcover in very good condition. Boards and page block are marked. Previous owner's name penned on FEP. Pages are clean and contents are clear throughout. HCW.

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Detalles bibliogr�ficos

T�tulo

Parallel Algorithms and Architectures for DSP Applications (The Kluwer International Series in Engineering and Computer Science; SECS 149. VLSI, Computer Architecture, and Digital Signal Processing)

Editor

Kluwer Academic Publishers, Norwell, Massachusetts, U.S.A.

Fecha de publicaci�n

1991

Idioma

Ingl�s

ISBN 10

0792392094

ISBN 13

9780792392095

Encuadernaci�n

hardcover

Estado

Very Good

Estado de la sobrecubierta

No Dust Jacket

Tipo de libro

Used

Cat�logos de vendedores

Science - Electronics

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Sinopsis

Over the past few years, the demand for high speed Digital Signal Proces� sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni� tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor� mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such as: 1. Intermediate data communication and routing: several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro� cessing time of the intermediate middle stages. 2. Complex DSP applications: the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific systems: this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault tolerance: reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac� ceptable speed performance.

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