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Probability, Random Variables, and Random Signal Principles (Mcgraw Hill Series in Electrical and Computer Engineering), by Peyton Z. Peeb
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This concise introduction to probability theory for undergraduate electrical engineers offers a logical organization which stresses the fundamentals of the subject. The topics have been chosen to flow logically from simple to advanced. Examples and applications illustrating the theory are featured throughout the book, including discussions of noise figures and noise and random signals in systems, and over 800 exercises are included. This edition has added coverage of poisson random processes, measurement of power spectra, and computer generation of random variables. It has added several new fully-worked examples and exercises at the end of chapters. Also available is a solutions manual (0-07-049274-3).
- Sales Rank: #2578120 in Books
- Published on: 1993-01
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 6.75" w x .75" l,
- Binding: Hardcover
- 401 pages
About the Author
Peyton Peebles. Profesor Emerito de Ingenieria Electrica e Informatica. Universidad de Florida
Most helpful customer reviews
1 of 1 people found the following review helpful.
Great on review; terrible in introducing the target subject matter
By Jordan McBain
This book is simply "okay." It is formatted nicely and easy to look at. The first few chapters on the review of statistics is generally nice (and even led me to question the negative reviews from others until I progressed further).
Mid-way through Chapter 6, just about when stationarity is introduced, the text becomes useless to anyone who is not familiar with the subject matter. Intuition is none-existent in the topics presented - to the extent that I was confused by the presentation of subjects that I was already strong with.
I am told Gardner's book is an excellent book with deep intuition; I have ordered it and will read it with the possibility of returning to peebles after I have a much better idea of what's going on.
5 of 6 people found the following review helpful.
A bad book to start with..
By Shanmuga
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.
10 of 11 people found the following review helpful.
4.5 stars as an undergraduate textbook for EE students
By A Customer
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.
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