PDF Download Algebraic Codes for Data Transmission
PDF Download Algebraic Codes for Data Transmission
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Algebraic Codes for Data Transmission
PDF Download Algebraic Codes for Data Transmission
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Book Description
Error-correcting codes play a fundamental role in modern communications and data-storage systems. This book provides an accessible introduction to the basic elements of algebraic codes, and discusses their use in a variety of applications. The author describes a range of important coding techniques, including Reed-Solomon codes, BCH codes, trellis codes, and turbocodes. Throughout the book, mathematical theory is illustrated by reference to many practical examples. The book is aimed at graduate students of electrical and computer engineering, and at practicing engineers whose work involves communications or signal processing.
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About the Author
Professor Richard E. Blahut is Head of the Department of Electrical and Computer Engineering at the University of Illinois, Urbana Champaign. He is a fellow of the Institute of Electrical and Electronics Engineers and the recipient of many prestigious awards including the IEEE Alexander Graham Bell Medal (1998); the Tau Beta Pi Daniel C. Drucker Eminent Faculty Award and the IEEE Millennium Medal. He was named a Fellow of the IBM Corporation in 1980 (where he worked for over 30 years) and was elected to the National Academy of Engineering in 1990.
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Product details
Hardcover: 498 pages
Publisher: Cambridge University Press; 2nd ed. edition (March 10, 2003)
Language: English
ISBN-10: 0521553741
ISBN-13: 978-0521553742
Product Dimensions:
7.1 x 1.3 x 10.1 inches
Shipping Weight: 2.8 pounds (View shipping rates and policies)
Average Customer Review:
3.2 out of 5 stars
8 customer reviews
Amazon Best Sellers Rank:
#572,226 in Books (See Top 100 in Books)
At first I really liked this book, but the farther I progressed, the more confusing it got. By the time I got to somthing practical, I was completely lost. A couple of times, when I was having trouble understanding something, I went back and re-read a preceding chapter, but that was not enough. I was reading this on my own, rather than in a class, so I had nobody to ask for clarification when something was confusing. Maybe it would be okay in a course. For the theorems, he doesn't state the asssumption. Instead, the reader is expected to know them because of the variable names. For example, because "p" was chosen to represent a prime number at some point in the book, I think that it is always a prime number from then on. However, he never stated that this is the case, so I'm not sure it is true. Sometimes a variable would start off fairly general, but he would add some assumptions about it for a later theorem. For subsequent uses of that variable, I would not know whether the variable was being used in its more general or more specific sense. The uncertainty about the meanings of variables just got to be too much for me. A glossary would be helpful. In particular, it would be great to have a list of all the meanings of "primitive".
I used this textbook for an introduction to Channel Coding class I took (graduate level). I think that the material is difficult, but this book is remarkably clear, considering that. I had no experience with Galois Fields or any of that kind of math before starting with this book, but I was able to grasp it. I think the main thing missing in this book are good summaries for each chapter, giving highlights of the important stuff. Sometimes it's hard to get an overall picture of the material, I got bogged down in math sometimes. Visually, the book is beautiful, good fonts, charts, etc...
Very good book for any one who is interested in coding theory. To complete the picture, it does not go very deep as far as graph-based codes are concerned (but this is not an issue given the title of the book).
I highly recommend this text for both the theoretical and practical implementation and analysis of error coding techniques. It covers a lot a material and Professor Blahut's previous text on Error Coding and Control will be important references for me.
This textbook is required reading for UCLA EE231E, a graduate level course. There are virtually no examples in this book, except for the most trivial of cases. If this is all you have to read, then consider spending lots of time in your professors office asking him lots of questions. Consider spending a lot of time reading other texts if you buy this one.
This book is not for beginners.All about is math.Impossible to understand.I try to give ZERO star.
The book is well organized and mathematically rigorous. It depicts a full picture of conventional algebraic coding theory in a systematic fashion. As a specialist in coding theory, I give my highest rank.
I am taking an error correcting code class as a graduate EE student where this text is assigned. The book is a reference manual for people who already know the material. It is not for those who are new to algebraic codes or galois field arithmetic.The book is introduced as an introductory book, but it is nothing of the sort.
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