Details

Title Mathematical Methods and Algorithms for Signal Processing
Author Moon, Todd
Binding Paperback
Edition 1st edition
Condition Used - Good
Pages 984
Volumes 1
Language ENG
Publisher Pearson, Upper Saddle River, NJ
Publication date 1999-08-04
Bookseller's Inventory # ANAIS-0201361868
ISBN 9780201361865 / 0201361868
Weight 3.75 lbs (1.70 kg)
Dimensions 9.93 x 7.95 x 1.9 in (25.22 x 20.19 x 4.83 cm)
Size 2.3x8x9.9
Category Technology & Industrial Arts
Library of Congress subjects Algorithms, Signal processing - Mathematics
Library of Congress Catalogue Number 99-31038
Dewey Decimal Code 621.382
Quantity available 1

About Ausvora INC Connecticut, United States

Biblio member since 2025

We are a U.S.-based online bookstore specializing in quality used books at affordable prices. With over 1 million books in stock, we serve readers, resellers, libraries, and institutions across the United States and internationally.

Terms of Sale:

Fast & Reliable Shipping All orders ship within 1–2 business days. Domestic shipping across the U.S. via USPS or UPS. International shipping available to most countries. 🔁 30-Day Hassle-Free Returns If the book isn't as described, we'll make it right. Enjoy a full 30-day return window with no questions asked.

Browse books from Ausvora INC

Reader reviews for Mathematical Methods and Algorithms for Signal Processing

Write a review for this book

Important Terms and Guidelines

Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
Reviews must be at least 140 characters in length.
Please do not reveal critical plot elements.
This is not a help line. Contact customer support if you need help.

Your review must not include:

Obscenities, discriminatory language, or other insulting language not suitable for public domain
Advertisements, “spam” content, or references to other products, offers or websites.
Email addresses, URLs, phone numbers, physical addresses or other contact information.
Overly critical comments about other reviews or reviewers
Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
Availability, price, or alternative ordering/shipping information

From the publisher

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear algebra, optimization, and statistical signal processing. KEY TOPICS: Interesting modern topics not available in many other signal processing books; such as the EM algorithm, blind source operation, projection on convex sets, etc., in addition to many more conventional topics such as spectrum estimation, adaptive filtering, etc. MARKET: For those interested in signal processing.

From the rear cover

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear algebra, optimization, and statistical signal processing.

FEATURES/BENEFITS

Many MATLAB algorithms and examples.

Allow the reader to understand more deeply by seeing the implementation and to learn by doing.

A strong foundation which motivates the development of advanced concepts, removing the "mysteries" frequently encountered by users--Geometric insight is presented wherever possible.

Readers develop maturity to read literature, and develop confidence in their abilities. Ex. Ch. 2, 3

Solid introduction to wavelets in the context of vector spaces--Including transform algorithms and basic theory.

Presents this important and modern topic in a context that should help the readers understanding. Ex. Ch. 3

Interesting modern topics not available in many other signal processing texts--Such as the EM algorithm, blind source separation, projection on convex sets, etc., in addition to many more conventional topics such as spectrum estimation, adaptive filtering, etc.

Motivate reader interest by presenting the field as dynamic, with an enormous number of useful applications.

Review of many signal models, in time domain, frequency domain, and state space domain, showing relationships between them, and issues related to their applications.

Readers can learn to move among the various forms, and understand how they relate. Also, come to understand the importance of a good signal model in approaching new problems. Ex. Ch. 1

Presents path algorithms (dynamic programming and Viterbi) with many applications.
Coverage of detection and estimation theory.

Learning to employ the tools they have gained in the first part, overcoming some of the algebraic difficulties frequently encountered in this area. Ex. Ch. 10

More than one approach to some problems.

In QR factorization and the Kalman filter, for example, multiple approaches are presented so the reader can gain insight and approach the realization that there is more than one way to solve the most interesting problems. Ex. Ch. 5, 14

Media reviews

Citations

Scitech Book News, 06/01/2000, Page 132

About the author

TODD K. MOON is currently with the Electrical and Computer Engineering department at Utah State University, where he has taught widely in the area of signals and systems, including signal processing, communications, controls, and information theory. His research interests have included signal separation, spread-spectrum communication, wavelet modulation, speech processing, and signal reconstruction.

WYNN C. STIRLING is a professor of electrical engineering at Brigham Young University, where he has served on the faculty since 1984. He received his Ph.D. in electrical engineering from Stanford University, and has worked as a research engineer for Rockwell International Corporation, ESL, Inc. (now TRW), and Autonetics. His research interests include decision theory, control theory, estimation theory, and stochastic processes. Dr. Stirling has contributed numerous articles to professional journals, and is a member of IEEE and Phi Beta Kappa.

BIBLIO is the largest independent book marketplace in the world, with over 100 million books.