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Digital Signal Processing, Second Edition enables
electrical engineers and technicians in the fields of
biomedical, computer, and electronics engineering to
master the essential fundamentals of DSP principles and
practice. Many instructive worked examples are used to
illustrate the material, and the use of mathematics is
minimized for easier grasp of concepts. As such, this
title is also useful to undergraduates in electrical
engineering, and as a reference for science students and
practicing engineers. The book goes beyond DSP theory,
to show implementation of algorithms in hardware and
software. Additional topics covered include adaptive
filtering with noise reduction and echo cancellations,
speech compression, signal sampling, digital filter
realizations, filter design, multimedia applications,
over-sampling, etc. More advanced topics are also
covered, such as adaptive filters, speech compression
such as PCM, u-law, ADPCM, and multi-rate DSP and
over-sampling ADC. New to this edition: * MATLAB
projects dealing with practical applications added
throughout the book* New chapter (chapter 13) covering
sub-band coding and wavelet transforms, methods that
have become popular in the DSP field* New applications
included in many chapters, including applications of DFT
to seismic signals, electrocardiography data, and
vibration signals* All real-time C programs revised for
the TMS320C6713 DSK * Covers DSP principles with
emphasis on applications to communications and control.*
Discusses implementation of DSP algorithms in hardware
and software* Chapter Objectives, worked examples, and
end of chapter exercises aid the reader in grasping key
concepts and solving related problems* Website with
MATLAB programs for simulation and C programs for
real-time DSP New to this Edition: * MATLAB projects
dealing with practical applications added throughout the
book* New chapter (chapter 13) covering subband coding
and wavelet transforms, methods that have become popular
in the DSP field* New applications included in many
chapters, including applications of DFT to seismic
signals, electrocardiography data, and vibration
signals* All real-time C programs revised for the
TMS320C6713 DSK
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