9781305635128-1305635124-Digital Signal Processing Using MATLAB: A Problem Solving Companion (Activate Learning with these NEW titles from Engineering!)

Digital Signal Processing Using MATLAB: A Problem Solving Companion (Activate Learning with these NEW titles from Engineering!)

ISBN-13: 9781305635128
ISBN-10: 1305635124
Edition: 4
Author: Vinay K. Ingle, John G. Proakis
Publication date: 2016
Publisher: Cengage Learning
Format: Paperback 672 pages
FREE US shipping
Buy

From $50.99

Book details

ISBN-13: 9781305635128
ISBN-10: 1305635124
Edition: 4
Author: Vinay K. Ingle, John G. Proakis
Publication date: 2016
Publisher: Cengage Learning
Format: Paperback 672 pages

Summary

Digital Signal Processing Using MATLAB: A Problem Solving Companion (Activate Learning with these NEW titles from Engineering!) (ISBN-13: 9781305635128 and ISBN-10: 1305635124), written by authors Vinay K. Ingle, John G. Proakis, was published by Cengage Learning in 2016. With an overall rating of 3.9 stars, it's a notable title among other Computer Science (Electrical & Electronics, Engineering) books. You can easily purchase or rent Digital Signal Processing Using MATLAB: A Problem Solving Companion (Activate Learning with these NEW titles from Engineering!) (Paperback) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.55.

Description

Learn to use MATLAB as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to gain insight with this supplementary text. DIGITAL SIGNAL PROCESSING USING MATLAB: A PROBLEM SOLVING COMPANION, 4E greatly expands the range and complexity of problems that you can effectively study. Since DSP applications are primarily algorithms implemented on a DSP processor or software, they require a significant amount of programming. Using interactive software, such as MATLAB, enables you to focus on mastering new and challenging concepts rather than concentrating on programming algorithms. This edition discusses interesting, practical examples and explores useful problems. New online chapters introduce advanced topics, such as optimal filters, linear prediction, and adaptive filters, which are essential in furthering your academic studies at the graduate level.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book