STATISTICAL DSP

Description:

International Edition. No supplemental materials. International Editions may have a different cover or ISBN but generally have the exact same content as the US edition, just at a more affordable price. In some cases, end of chapter questions may vary slightly from the US edition. International Editions are typically printed in grayscale, and likely will not have any color throughout the book. Used books will not come with any working supplemental materials such as access codes or CDs. Books in Good condition may have some wear to the cover and binding, highlighting throughout the book, and other minor cosmetic issues but remains very usable. Books ship from multiple locations depending on availability. All orders are shipped with tracking information. We take pride in our customer service. Please contact us if you have any questions regarding this listing. Seller Inventory # 5134

About this title:

• 4.14
  35 ratings by Goodreads

Synopsis:

This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the focal point of the text is signal modeling, it integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectrum estimation, and adaptive filtering.

Coverage is equally divided between the theory and philosophy of statistical signal processing, and the algorithms that are used to solve related problems. The text reflects the author's philosophy that a deep understanding of signal processing is accomplished best through working problems. For this reason, the book is loaded with worked examples, homework problems, and MATLAB computer exercises. While the examples serve to illustrate the ideas developed in the book, the problems seek to motivate and challenge the student and the computer exercises allow the student to experiment with signal processing algorithms on complex signals.

Professor Hayes is recognized as a leader in the signal processing community, particularly for his work in signal reconstruction and image processing. This text is suitable for senior/graduate level courses in advanced DSP or digital filtering found in Electrical Engineering Departments. Prerequisites include basic courses in DSP and probability theory.

From the Publisher: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

Bibliographic Details

Title: STATISTICAL DSP
Publisher: WILEY
Publication Date: 1996
Binding: soft cover
Condition: Good
Edition: International Edition