- Hardcover: 265 pages
- Publisher: McGraw-Hill Education (1 April 1980)
- ISBN-10: 0070491801
- ISBN-13: 978-0070491809
- Product Dimensions: 23.6 x 16.8 x 1.5 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 5,789,446 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
The fourth edition of "Probability, Random Variables and Random Signal Principles" continues the success of previous editions with its concise introduction to probability theory for the junior-senior level course in electrical engineering. The book offers a careful, logical organization which stresses fundamentals and includes almost 900 student exercises and abundant practical applications for engineers to understand probability concepts.
The most important new material in this edition relates to discrete-time random processes and sequences, and other topics in the general area of digital signal processing, such as the DT linear system. --This text refers to the Paperback edition.
From the Publisher
Digital Topics: The new discrete-time material includes coverage of sampling theorems (baseband and bandpass) for random processes as a foundation for the DT material. This material is placed in Chapter 8 for clear exposure. Correlation functions and power spectrums for these processes, which are developed and connected through the sampling theorems and the DT Fourier transforms, are covered in Chapters 7 and 8, with some introduction in sections 6.1-6.3. The structure of linear DT digital systems is developed in both the sequence and transform domains.
Other additions: Other additions include more examples within the text, NEW chapter-end summaries, expanded discussions of probability as a relative frequency, material on permutations and combinations, more details on random variable transformations, ergodicity, important inequalities and the weak and strong laws of large numbers.
Problems: Unlike the previous editions, chapter-ending problems have now been combined into a single list with numbering that corresponds to the chapter's section to which the problems mainly apply. Additional problems have been added to the new edition.
Starred sections: The level of the material is intended for a typical undergraduate program. However a small amount of more advanced material has been scattered throughout the book to serve as stimulation for the more advanced student or for schools using the book at a higher level. These sections are indicated by a star (-).
MATLAB-based examples and problems have been integrated into the text in key places (indicated by a computer icon).
Appendixes: Important new material has been added to Appendix A, useful properties of impulse functions, while an entire new appendix has been added, Appendix G, covering various mathematical topics of interest, including Leibniz's rule and Schwarz's Inequality. As in previous editions, the appendixes also include important review material for the students.
The book has an expanded web site that includes a downloadable version of the solutions manual, as well as JPEG files of the book's figures. --This text refers to the Paperback edition.
Other additions: Other additions include more examples within the text, NEW chapter-end summaries, expanded discussions of probability as a relative frequency, material on permutations and combinations, more details on random variable transformations, ergodicity, important inequalities and the weak and strong laws of large numbers.
Problems: Unlike the previous editions, chapter-ending problems have now been combined into a single list with numbering that corresponds to the chapter's section to which the problems mainly apply. Additional problems have been added to the new edition.
Starred sections: The level of the material is intended for a typical undergraduate program. However a small amount of more advanced material has been scattered throughout the book to serve as stimulation for the more advanced student or for schools using the book at a higher level. These sections are indicated by a star (-).
MATLAB-based examples and problems have been integrated into the text in key places (indicated by a computer icon).
Appendixes: Important new material has been added to Appendix A, useful properties of impulse functions, while an entire new appendix has been added, Appendix G, covering various mathematical topics of interest, including Leibniz's rule and Schwarz's Inequality. As in previous editions, the appendixes also include important review material for the students.
The book has an expanded web site that includes a downloadable version of the solutions manual, as well as JPEG files of the book's figures. --This text refers to the Paperback edition.
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Customer Reviews
Most Helpful Customer Reviews
Format:Hardcover
The other books that are available are too advanced, in their treatment of statistics, for a first-time reader of random variables. This book does not hit you with jargon or mathematical/statistical theory. The concepts are introduced at a moderate pace, and you can gain a lot if you make sure you understand what you read, as you go along. The examples(and end-of-chapter problems) are given to reinforce the theory. The book contains very simple examples: they develop your theory but not your application.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
9 reviews
9 of 9 people found the following review helpful
4.5 stars as an undergraduate textbook for EE students
13 Sep 2002
Format:Hardcover
This book is one of the best undergradute textbooks for EE students, especially students having focus on physical-layer communication engineering. The highlight of this book is the enormous amount of well-written problems at the end of each chapter. These problems really help students fully understand abstract definitions and theorems which otherwise will not be easily cracked.
This book, however, has the following drawbacks:
1. The author should have emphasized in the first chapter the importance of real analysis and measure theory in order to motivate the students planning graduate research to study and prepare for the math courses during their undergraduate study.
2. No section for complex Gaussian random variable and vector, which are very important in digital communications.
3. No limit theorems except CLT.
4. No handling of convergence of a random sequence.
Even with above drawbacks, this book is still the classic. I recommend ambitious students to read a little bit advanced books along with this book to better understand the subject.
4 of 4 people found the following review helpful
Horrible book
12 Mar 2007
Format:Hardcover
The book offers no rigor in any sense and the author seems to have simply copied a large number of formulas from a real probability book. Explanations are sparse and incoherent with vague references to "important applications" with no sense of the abstract concept and virtually no insight into any of the information presented; as another reviewer wrote it is quite dry, I can't see Ben Stein narrating it, but I can picture the author sitting at his keyboard haphazardly plunking in text from other 'sources' all the while wondering what it means.
Skip this and get something with more substance, Peebles offers nothing more than you could find on wikipedia, perhaps less.
Skip this and get something with more substance, Peebles offers nothing more than you could find on wikipedia, perhaps less.
4 of 4 people found the following review helpful
A bad book to start with..
1 May 2006
Format:Hardcover
This book though looks simple and pretends to present concepts in a lucid manner, does not match international standards. Very few examples are present with less/no illustrations. I struggled with this book for almost 2 years to understand the concepts as this book was the only popular book in my UG college and was readily available in our library. It has ideally no practical examples which can easily discourage reader. After reading contemporary books from Prof Roy Yates and Prof Leon-Garcia, I could do little favor for this book by giving 1 star.
However, one who is already thorough with concepts can use this book for revision. There is a huge element of risk involved in starting with this book to learn probability concepts.
However, one who is already thorough with concepts can use this book for revision. There is a huge element of risk involved in starting with this book to learn probability concepts.
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