No image available
Digital Signal Processing: Principles, Algorithms, and Applications Hardback - 0000
by Proakis, John G
- Used
- Hardback
A$78.61
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Standard delivery: 5 to 10 days
Dropship order
Ships from Ergodebooks (Texas, United States)
Details
- Title Digital Signal Processing: Principles, Algorithms, and Applications
- Author Proakis, John G
- Binding Hardback
- Edition 2
- Condition Used: Good
- Pages 969
- Volumes 1
- Language ENG
- Publisher MacMillan Publishing Company, New York, New York, U.S.A.
- Publication date 0000-00-00
- Bookseller's Inventory # SONG002396815X
- ISBN 9780023968150 / 002396815X
- Weight 3.69 lbs (1.67 kg)
- Dimensions 10.25 x 7.3 x 1.62 in (26.04 x 18.54 x 4.11 cm)
- Size 7.75x1.75x10.50
- Category Technology & Industrial Arts
- Library of Congress subjects Signal processing - Digital techniques
- Library of Congress Catalogue Number 91015536
- Dewey Decimal Code 621.382
- Quantity available 1
About Ergodebooks Texas, United States
Biblio member since 2005
Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.
We have 30 day return policy.
Reader reviews for Digital Signal Processing: Principles, Algorithms, and Applications
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
