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Books > Computing & IT > Applications of computing > Signal processing
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Biosignal and Medical Image Processing (Hardcover, 3rd edition)
Loot Price: R4,567
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Biosignal and Medical Image Processing (Hardcover, 3rd edition)
Expected to ship within 12 - 19 working days
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Written specifically for biomedical engineers, Biosignal and
Medical Image Processing, Third Edition provides a complete set of
signal and image processing tools, including diagnostic
decision-making tools, and classification methods. Thoroughly
revised and updated, it supplies important new material on
nonlinear methods for describing and classifying signals, including
entropy-based methods and scaling methods. A full set of PowerPoint
slides covering the material in each chapter and problem solutions
is available to instructors for download. See What's New in the
Third Edition: Two new chapters on nonlinear methods for describing
and classifying signals. Additional examples with biological data
such as EEG, ECG, respiration and heart rate variability Nearly
double the number of end-of-chapter problems MATLAB (R)
incorporated throughout the text Data "cleaning" methods commonly
used in such areas as heart rate variability studies The text
provides a general understanding of image processing sufficient to
allow intelligent application of the concepts, including a
description of the underlying mathematical principals when needed.
Throughout this textbook, signal and image processing concepts are
implemented using the MATLAB (R) software package and several of
its toolboxes. The challenge of covering a broad range of topics at
a useful, working depth is motivated by current trends in
biomedical engineering education, particularly at the graduate
level where a comprehensive education must be attained with a
minimum number of courses. This has led to the development of
"core" courses to be taken by all students. This text was written
for just such a core course. It is also suitable for an upper-level
undergraduate course and would also be of value for students in
other disciplines that would benefit from a working knowledge of
signal and image processing.
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