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.

Product Details

• Amazon Sales Rank: #854529 in Books
• Published on: 2000-07-21
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 480 pages

Customer Reviews

4.5 stars as an undergraduate textbook for EE students
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.

A bad book to start with..
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.

Horrible book
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.