"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 bookNew chapter (chapter 13)
covering sub-band coding and wavelet transforms, methods that have
become popular in the DSP fieldNew applications included in many
chapters, including applications of DFT to seismic signals,
electrocardiography data, and vibration signalsAll real-time C
programs revised for the TMS320C6713 DSK
Covers DSP principles with emphasis on communications and control
applicationsChapter objectives, worked examples, and end-of-chapter
exercises aid the reader in grasping key concepts and solving
related problemsWebsite with MATLAB programs for simulation and C
programs for real-time DSP
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