FPGA based Implementation of Signal Processing Systems

Release: FPGA.based.Implementation.of.Signal.Processing.Systems

  • Sprache: Englisch
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FPGA - Based Implementation of Signal and Data
Processing Systems by Roger Woods
English | 7 Apr. 2017 | ISBN: 1119077958 | 360 Pages |
EPUB/PDF (conv) | 22.93 MB
An important working resource for engineers and
researchers involved in the design, development, and
implementation of signal processing systems.

The last decade has seen a rapid expansion of the use of
field programmable gate arrays (FPGAs) for a wide range
of applications beyond traditional digital signal processing
(DSP) systems. Written by a team of experts working at
the leading edge of FPGA research and development, this
second edition of FPGA–based Implementation of Signal
Processing Systems has been extensively updated and
revised to reflect the latest iterations of FPGA theory,
applications, and technology. Written from a system–
level perspective, it features expert discussions of
contemporary methods and tools used in the design,
optimization and implementation of DSP systems using
programmable FPGA hardware. And it provides a wealth
of practical insights along with illustrative case studies
and timely real–world examples of critical concern to
engineers working in the design and development of DSP
systems for radio, telecommunications, audio–visual, and
security applications, as well as bioinformatics, Big Data
applications, and more. Inside you will find up–to–date
coverage of:

FPGA solutions for Big Data Applications, especially as
they apply to huge data sets
The use of ARM processors in FPGAs and the transfer of
FPGAs towards heterogeneous computing platforms
The evolution of High Level Synthesis tools including new
sections on Xilinx's HLS Vivado tool flow and Altera's
OpenCL approach
Developments in Graphical Processing Units (GPUs), which
are rapidly replacing more traditional DSP systems
FPGA–based Implementation of Signal Processing
Systems, 2nd Edition is an indispensable guide for
engineers and researchers involved in the design and
development of both traditional and cutting–edge data
and signal processing systems. Senior–level electrical and
computer engineering graduates studying signal
processing or digital signal processing also will find this
volume of great interest.
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