Studying Digital Communications textbook?

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The discussion centers on the suitability of the textbook "Digital Communications" by Bernard Sklar for a Digital Communications class, with concerns raised about its mathematical rigor compared to other texts. The recommendation for "Digital Communications" by John Proakis emerges, noted for its clarity and organization, making it a preferred choice among users. Proakis is acknowledged as more mathematically intensive and is favored for its readability, especially for those with prior exposure to probability and stochastic processes. Additionally, "Communications Systems" by Simon Haykin is mentioned as a reference text. For those seeking a deeper mathematical understanding, "Probability, Random Variables and Stochastic Processes" by Papoulis is suggested, though it may be challenging for beginners. Overall, Proakis is highly recommended for its balance of rigor and accessibility.
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Hey guys, I'm taking a Digital Communications class and we are using the book "Digital Communications" by Bernard Sklar. I have heard from a few people that this book is not as mathematically rigorous as some of the other books in the field and therefore does not provide a deep understanding of the material.

I am thinking about ordering the textbook "Digital Communications" by John Proakis. My professor has this listed as a recommended book and I've read some good reviews for it – especially that it is more mathematically intensive than the previously mentioned book.

Has anyone used the book before and can testify for its quality?

I also have the book "Communications Systems" by Simon Haykin that I used for another Communications class, so I have that as a reference as well.

Thanks.
 
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The two best regarded texts are Proakis and Messerschmitt. Personally, I think Proakis is a much easier read, with much better organization and much clearer presentation. Both are the some of the most mathematically rigorous texts available. I would recommend Proakis.

- Warren
 
Proakis THE text

This is our primary text for an intro grad text. I'm through the first few chapters and I'd agree very readable with decent mathematical rigor. However the book is intended as an intro grad level text with an assumption of previous exposure to, and sufficient understanding of, probability and stochastic processes.

If you need background there, Papoulis' Probability, Random Variables and Stochastic Processors 4e is strongly recommended ( if you're truly after the mathematical rigor that lies behind RVs and stochasitc processes this is the book for you, however the tradeoff is a text that isn't necessarily reader friendly to someone new with limited knowledge in this area). There is a book by Leon-Garcia on this subject that offers good coverage of RVs/SPs and is generally easier to digest.


Good luck with your studies.
 
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