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.
Additional ISBNs
9780120885817, 9781483299990, 9780080467689, 9781280746871, 0120885816, 1483299996, 0080467687, 1280746874
Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications Ebook
By: Shiavi, Richard
Publisher:
Academic Press
Print ISBN: 9780120885817, 0120885816
eText ISBN: 9780120885817, 9780080467689, 0080467687
Edition: 3rd
Pages: 424
Format: PDF
Available from $ 115.00 USD
SKU: 9780120885817
