Have one to sell? Sell yours here
Introduction to Applied Statistical Signal Analysis, Second Edition (Biomedical Engineering)
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Introduction to Applied Statistical Signal Analysis, Second Edition (Biomedical Engineering) [Hardcover]

Richard Shiavi (Author), Joseph Bronzino (Series Editor)
5.0 out of 5 stars  See all reviews (1 customer review)


Available from these sellers.


Textbook Student FREE Two-Day Shipping for students on millions of items. Learn more

Formats

Amazon Price New from Used from
Hardcover --  
Hardcover, August 30, 1999 --  
There is a newer edition of this item:
Introduction to Applied Statistical Signal Analysis, Third Edition: Guide to Biomedical and Electrical Engineering Applications (Biomedical Engineering) Introduction to Applied Statistical Signal Analysis, Third Edition: Guide to Biomedical and Electrical Engineering Applications (Biomedical Engineering)
$96.12
Usually ships in 1 to 3 weeks

Book Description

0126400105 978-0126400106 August 30, 1999 2
This book provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises which range from pencil and paper format to computer-based format problems, to instructional notebooks. The notebooks provide a mode of learning that is interactive and suited for self-pacing and independent learning.


* "real-world" applications
* real data available for exercises and projects
* notebooks for interactive learning
* graphical explanation of concepts
* exercises emphasizing concepts
* CD-ROM with MATLAB implementation

Customers Who Viewed This Item Also Viewed


Editorial Reviews

From the Back Cover

Introduction to Applied Statistical Signal Analysis, 2nd Edition provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises that range from pencil and paper format to computer-based format problems to instructional notebooks. The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning.

About the Author

Richard Shiavi is Professor of Biomedical Engineering and Professor of Electrical Engineering, actively engaged in teaching and research at Vanderbilt University and the Veterans Administration Medical Center. His main professional interests are in signal processing and main research interests are in bioelectric signal processing and signal measurement. Dr. Shiavi has been an active member of Institute of Electrical and Electronic Engineers (IEEE) and the IEEE Engineering in Medicine and Biology Society (EMBS) and is presently an Associate Editor for the Transactions on Biomedical Engineering. He is also an active member and past President of the International Society of Electrophysiology and Kinesiology.

Joseph Bronzino is one of the most renowned biomedical engineers in the world. He is a former president of the IEEE Engineering in Medicine and Biology, and well-known educator. He is editor-in-chief of the Biomedical Engineering Handbook from CRC Press, and is currently editor of the Academic Press Series in Biomedical Engineering. He is the Vernon Roosa Professor of Applied Science at Trinity College in Hartford, Connecticut.


Product Details

  • Hardcover: 390 pages
  • Publisher: Academic Press; 2 edition (August 30, 1999)
  • Language: English
  • ISBN-10: 0126400105
  • ISBN-13: 978-0126400106
  • Product Dimensions: 9.3 x 6.4 x 1.3 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,926,363 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

 

Customer Reviews

1 Review
5 star:
 (1)
4 star:    (0)
3 star:    (0)
2 star:    (0)
1 star:    (0)
 
 
 
 
 
Average Customer Review
5.0 out of 5 stars (1 customer review)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

4 of 5 people found the following review helpful:
5.0 out of 5 stars First Edition was Very Good, March 14, 2001
This review is from: Introduction to Applied Statistical Signal Analysis, Second Edition (Biomedical Engineering) (Hardcover)
This is about the 1st edition (1994 I think). This book is very well written and very practical in nature. If you need to apply signal analysis (time or frequency domain), without getting bogged down in theory, this will be a very good guide. It is a great introduction to the subject - from which you can then get into the more theoretical texts.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No

Share your thoughts with other customers: Create your own review
 
 
 
Only search this product's reviews



Inside This Book (learn more)
First Sentence:
Historically, a signal meant any set of signs, symbols, or physical gesticulations that transmitted information or messages. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
estimated using segment averaging, rectangular spectral window, rectangular lag window, rectangular data window, cosine sequence, variance reduction factor, leakage error, coherence spectrum, quadrature spectrum, power transfer function, periodogram estimate, magnitude spectrum, spectral smoothing, spectral averaging, total squared error, estimated spectrum, main lobe width, phase spectra, lag windows, interior knots, autocovariance function, spectral estimators, ideal spectrum, signal modeling, spectral estimate
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Englewood Cliffs, Academic Press, Computer Exercises, San Francisco, Discrete Spectral Analysis, Parseval's Theorem, Cambridge University Press, Digital Spectral Analysis, Numerical Recipes, Artech House, Boca Raton, Duck River, Model Order Model Order, Repeat Exercise
New!
Books on Related Topics | Concordance | Text Stats
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Search Inside This Book:




Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject