Introduction to Applied Statistical Signal Analysis is designed for
the experienced individual with a basic background in mathematics,
science, and computer. With this predisposed knowledge, the reader
will coast through the practical introduction and move on to signal
analysis techniques, commonly used in a broad range of engineering
areas such as biomedical engineering, communications, geophysics,
and speech.
Introduction to Applied Statistical Signal Analysis intertwines
theory and implementation with practical examples and exercises.
Topics presented in detail include: mathematical bases,
requirements for estimation and detailed quantitative examples for
implementing techniques for classical signal analysis. This book
will help readers understand real-world applications of signal
analysis as they relate to biomedical engineering.
The presentation style is designed for the upper level
undergraduate or graduate student who needs a theoretical
introduction to the basic principles of statistical modeling and
the knowledge to implement them practically.
. Accompanied by MATLAB notebooks that provide an interactive mode
of learning which can be utilized by professors or independent
learners, available from the Companion website.
. Includes over one hundred worked problems and real world
applications. Many of the examples and exercises in the book use
measured signals, many from the biomedical domain. Copies of these
are available for download from the Companion website.
. Please visit http: //books.elsevier.com/companions/9780120885817
to access accompanying material."
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