Books > Computing & IT > Applications of computing > Signal processing
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Digital Signal Processing - Principles, Algorithms and System Design (Paperback)
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Digital Signal Processing - Principles, Algorithms and System Design (Paperback)
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Digital signal processing (DSP) has been applied to a very wide
range of applications. This includes voice processing, image
processing, digital communications, the transfer of data over the
internet, image and data compression, etc. Engineers who develop
DSP applications today, and in the future, will need to address
many implementation issues including mapping algorithms to
computational structures, computational efficiency, power
dissipation, the effects of finite precision arithmetic, throughput
and hardware implementation. It is not practical to cover all of
these in a single text. However, this text emphasizes the practical
implementation of DSP algorithms as well as the fundamental
theories and analytical procedures that form the basis for modern
DSP applications. Digital Signal Processing: Principles, Algorithms
and System Design provides an introduction to the principals of
digital signal processing along with a balanced analytical and
practical treatment of algorithms and applications for digital
signal processing. It is intended to serve as a suitable text for a
one semester junior or senior level undergraduate course. It is
also intended for use in a following one semester first-year
graduate level course in digital signal processing. It may also be
used as a reference by professionals involved in the design of
embedded computer systems, application specific integrated circuits
or special purpose computer systems for digital signal processing,
multimedia, communications, or image processing.
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