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This new, fully-revised edition covers all the major topics of
digital signal processing (DSP) design and analysis in a single,
all-inclusive volume, interweaving theory with real-world examples
and design trade-offs. Building on the success of the original,
this edition includes new material on random signal processing, a
new chapter on spectral estimation, greatly expanded coverage of
filter banks and wavelets, and new material on the solution of
difference equations. Additional steps in mathematical derivations
make them easier to follow, and an important new feature is the
do-it-yourself section at the end of each chapter, where readers
get hands-on experience of solving practical signal processing
problems in a range of MATLAB experiments. With 120 worked
examples, 20 case studies, and almost 400 homework exercises, the
book is essential reading for anyone taking DSP courses. Its unique
blend of theory and real-world practical examples also makes it an
ideal reference for practitioners.
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