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Parallel Algorithms and Architectures for DSP Applications, 1

Name: Parallel Algorithms and Architectures for DSP Applications, 1
Brand: Springer, Berlin
SKU: 9781461367864
Price: 2286 CZK
Availability: InStock

Autor: Magdy A. Bayoumi

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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2 286 Kč

Over the past few years, the demand for high speed Digital Signal Proces sing (DSP) has increased dr...

Informace o knize

Autor

Magdy A. Bayoumi

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2012

Stránek

283

EAN

9781461367864

ISBN

1461367867

Enbook ID

02016429

Vydavatel

Springer, Berlin

Hmotnost

462

Rozměry

155 x 235 x 16

Kompletní popis

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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Parallel Algorithms and Architectures for DSP Applications, 1

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