Probability and Random Processes
With Applications to Signal Processing and Communications
- Publisher's listprice EUR 93.95
-
39 853 Ft (37 955 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 7 971 Ft off)
- Discounted price 31 882 Ft (30 364 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
39 853 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Academic Press
- Date of Publication 15 October 2004
- ISBN 9780121726515
- Binding Hardback
- No. of pages552 pages
- Size 234x190 mm
- Weight 1010 g
- Language English
- Illustrations Approx. 100 illustrations 0
Categories
Long description:
Probability and Random Processes provides a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course.
It includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Exceptional exposition and numerous worked out problems make the book extremely readable and accessible.
It is meant for practicing engineers as well as graduate students.
MoreTable of Contents:
Preface
1. Introduction
2. Introduction to Probability Theory
3. Random Variables, Distributions and Density Functions
4. Operations on a Single Random Variable
5. Pairs of Random Variables
6. Multiple Random Variables
7. Random Sequences and Series
8. Random Processes
9. Markov Processes
10. Power Spectral Density
11. Random Processes in Linear Systems
12. Simulation Techniques
Appendices
