PROBABILITY AND RANDOM PROCESSES FOR ELECTRICAL AND COMPUTER ENGINEERS
The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topi...
Saved in:
Main Author: | |
---|---|
Format: | Book |
Language: | English |
Published: |
New York
Cambridge University Press
2006
|
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
LEADER | 00000cam#a2200000#i#4501 | ||
---|---|---|---|
001 | wils-256882 | ||
005 | 2022328144817 | ||
008 | 220428t20062006XXU ag# ##001 |#eng#D | ||
020 | # | # | |a 9780521864701 |q hardback |
020 | # | # | |a 0521864704 |q hardback |
040 | # | # | |a DLC |b eng |c DLC |d UiTM |e rda |
041 | 0 | # | |a eng |
090 | 0 | 0 | |a QA273 |b .G78 2006 |
100 | 1 | # | |a Gubner, John A. |e author |
245 | 1 | 0 | |a PROBABILITY AND RANDOM PROCESSES FOR ELECTRICAL AND COMPUTER ENGINEERS |c JOHN A. GUBNER |
264 | # | 1 | |a New York |b Cambridge University Press |c 2006 |
264 | # | 4 | |c ©2006 |
300 | # | # | |a xii, 628 pages |b illustrations |c 26 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
500 | # | # | |a Text on lining papers |
504 | # | # | |a Includes bibliographical references and index |
520 | # | # | |a The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions (for instructors only) |
650 | # | 0 | |a Stochastic processes |
650 | # | 0 | |a Probabilities |x Mathematics |
650 | # | 0 | |a Electric engineering |x Mathematics |
650 | # | 0 | |a Computer engineering |x Mathematics |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=256882 |
964 | # | # | |c BOK |d 01 |
998 | # | # | |a 00264#1a002.8.2||00264#1b002.8.4||00300##a002.17.2||00300##b002.17.2||00300##c002.17.2||00500##a002.17.2||00520##a007.2||00520##b007.2|| |