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eBook Intuitive Probability and Random Processes using MATLAB ePub

eBook Intuitive Probability and Random Processes using MATLAB ePub

by Steven Kay

  • ISBN: 0387241574
  • Category: Programming
  • Subcategory: Computers
  • Author: Steven Kay
  • Language: English
  • Publisher: Springer (November 16, 2005)
  • Pages: 834
  • ePub book: 1733 kb
  • Fb2 book: 1876 kb
  • Other: azw rtf lrf lrf
  • Rating: 4.1
  • Votes: 170

Description

Preface The subject of probability and random processes is an important one for a variety of disciplines.

INTUITIVE PROBABILITY AND RANDOM PROCESSES USING MATLAB® INTUITIVE PROBABILITY AND RANDOM PROCESSES USING MATLAB® STEVEN M. KAY University of Rhode Island ^ Springer Steven M. Kay University of Rhode Island Dept. Preface The subject of probability and random processes is an important one for a variety of disciplines.

Topics covered include conditional probability, discrete random variables, Gaussian and Poisson random processes, and Markov chains. MATLAB is briefly introduced and used throughout the book to solve example problems. View the publisher’s web page for this book. Get companion software. Steven M. Kay, University of Rhode Island. Find full courses and labs

Kay’s book occupies a unique place in the overcrowded market of textbooks on probability and random processes. Bibliographic Information. Intuitive Probability and Random Processes using MATLAB®.

Kay’s book occupies a unique place in the overcrowded market of textbooks on probability and random processes. This new textbook is a breath of fresh air in the market of books devoted to probability and random processes. The book lives up to its ambition of setting a new standard for a modern, computer-based treatment of the subject. I fully recommend its use in undergraduate and first-year graduate courses. Osvaldo Simeone, IEEE Control Systems Magazine, Vol. 27, June, 2007).

Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing.

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications.

warnings on common errors and pitfalls. over 750 problems designed to help the reader assimilate and extend the concepts. Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.

This book is an introduction to probability and random processes that merges theory with practice. Based on the author's belief that only "hands on" experience with the material can promote intuitive understanding the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications.

of Electrical & Computer Engineering Kingston, RI 02881 Kay, Steven . 1951Intuitive probability and random processes using MATLAB, Steven M. Kay. p. cm. ISBN-13: 978-0-387-24157-9 (acid-free paper) ISBN-IO: 0-387-24157-4 (acid-free paper) ISBN-IO: 0-387-24158-2 (e-book) I. er. 2. Stochastic processes-Computer L Title.

Probability and random processes is considered by students to be conceptually one of the most difficult subjects in the undergraduate electrical and computer engineering curriculum. There are numerous reasons for this difficulty encountered by the students

Probability and random processes is considered by students to be conceptually one of the most difficult subjects in the undergraduate electrical and computer engineering curriculum. There are numerous reasons for this difficulty encountered by the students. First off, humans are not innately good at probabilistic intuition.

Back cover copy This is a very readable book.

Intuitive Probability and Random Processes using MATLAB(R) is an introduction to probability and random processes that merges theory with practice. This is a very readable book. Kay's book undoubtedly will see its greatest use in engineering schools, but I think it would work nicely in other settings as well.

Download Now. saveSave -Intuitive Probability and Random Processes Using. Solutions to Steven Kay's Statistical Estimation book. Uploaded by. masoudsmart. Intuitive Probability and Random Processes Using MATLAB (Solution Manual). Fabiano Mathilde. Documents Similar To -Intuitive Probability and Random Processes Using MATLAB (Solution Manual). Carousel Previous Carousel Next.

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are:

*heavy reliance on computer simulation for illustration and student exercises

*the incorporation of MATLAB programs and code segments

*discussion of discrete random variables followed by continuous random variables to minimize confusion

*summary sections at the beginning of each chapter

*in-line equation explanations

*warnings on common errors and pitfalls

*over 750 problems designed to help the reader assimilate and extend the concepts

Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book.

About the Author

Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.

Comments

AnnyMars AnnyMars
This is my first choice as an introductory text on probability and random processes for senior undergraduate and graduate students. There is not much to add to what has already been said in previous reviews, but I will try to summarize some of the points I found most relevant. The author is gifted with CLARITY OF EXPOSITION, even of more difficult concepts. The PROGRESS ON THE SUBJECT is slow but firm. This is good news for the beginners and those who would like to see the same thing from different angles (single variable, then, bi-variate, then, multi-variate, one chapter for each and this for the discrete and then for continuous case) on the other hand, if you need to quickly cover the main points of the topic, this book will hold you back a bit. As for the NOTATION, it is somewhat overloaded which makes reading sometimes a bit heavy-going, however there is no doubt that it helps the author to be precise. As for MATLAB, the examples included in the book are helpful, although there are not as many as it may have been expected from the book title. The author provides several interesting examples related to actual engineering problems, not to mention that every chapter ends with a helpful Real World Example. The author provides some helpful material on his webpage. So, if you plan to teach an introductory course on Probability and Random Processes, this book is all you need. And for those who are struggling through such rather hard topics, I am sure this will be one of the most helpful books you will find on the market.
Kit Kit
you will get a solid understanding of each topic/chapter title. Not only engineering but also math students should be trained in the spirit of this book. Each chapter culminates in a real world application which is indeed interesting, and not completely trivial. Few books teach the theory but also bring you to the level where you can apply this theory to problems. However, there is a drawback, in my opinion; since the book is supposed to address grad students some mathematical sophistication could be assumed so as to achieve a more concise presentation. I don't blame the author for extreme clarity of course, but usually you want to get to the interesting parts of any subject at a much higher pace. At some points one could say the book is a bit verbose. Overall, it is almost excellent taking into account its target-group (mostly ece students) and the material it deals with (elementary applied probability).
Jube Jube
The examples in here are pretty good. I didn't really go deep into the MATLAB portion since I was using R instead. But understanding the concepts wasn't a big issue.
Fenrikasa Fenrikasa
The best book ever on Probability. There are many books on probability theory, but this book is unique among all of them. Its uniqueness lies in its completeness of the theory and its workout examples. It is a graduate level book but even if you are an undergraduate and have a passion for math you can understand it given its clear explanations and examples.
Malanim Malanim
Excellent!
Thabel Thabel
good book to start deep learning probability.
Agantrius Agantrius
This is a good book that is very comprehensive. However, much of the notation used in the book is not standard, which can be frustrating at times.
The book is perfect, very well written and the examples and matlab programs provide to readers an additional toolkit to improve the learning process. Steven Kay has joined mathematical formalism
and practical example to write excelent books.