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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Parallel Algorithms and Architectures for DSP Applications (Paperback, Softcover reprint of the original 1st ed. 1991)
Loot Price: R2,875
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Parallel Algorithms and Architectures for DSP Applications (Paperback, Softcover reprint of the original 1st ed. 1991)
Series: The Springer International Series in Engineering and Computer Science, 149
Expected to ship within 10 - 15 working days
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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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