Applied Introduction to Digital Signal Processing

Deziel, J. Philippe

ISBN 10: 0137757689 / ISBN 13: 9780137757688

Published by Pearson, 2000

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item for full refund. Ships via media mail.

Seller Inventory # OTV.0137757689.G

Bibliographic Details

• Title: Applied Introduction to Digital Signal Processing
• Publisher: Pearson
• Publication Date: 2000
• Language: English
• ISBN 10: 0137757689
• ISBN 13: 9780137757688
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This book explores the Digital System Processing revolution that has drastically changed the way electronic circuits are designed, and created new possibilities deemed impossible using conventional analog circuitry. While avoiding most complicated math and calculus, it explains the magic that makes the “necessities” of life work— such as CD players, cellular telephones, music synthesizers, and high-speed modems, just to name a few. Chapter topics include the digital processing environment, building the signals, processing binary numbers, processing signals, spectral analysis, and implementing DSP systems. For engineers, who understand the basics of passive circuits and have exposure to the programming of microprocessors, looking for a high-tech tool to face the technical challenges of today's designs.

From the Back Cover

This important book introduces the fundamentals of digital signal processing. Its goal is to help the reader design and implement signal synthesis, signal analysis, filters, and modulators on any digital signal processor. The following unique features differentiate this book from others:

• Use of an intuitive graphical approach
• Use of vector arithmetic
• Includes manipulation of binary numbers
• Presents filter performance issues
• Contains real, practical applications