Principles of Digital Communication
and Coding by Jim K. Omura
A Great One Returns
Written by two distinguished experts in the field of digital communications,
this classic text remains a vital resource three decades after its initial
publication. Its treatment is geared toward students of communications
theory and to designers of channels, links, terminals, modems, or networks
used to transmit and receive digital messages. 1979 edition.
Personal Review: Principles of Digital Communication and
Coding by Jim K. Omura
What a bargain! This book use to cost $130+ before it was banished to
publisher's oblivion. Now it cost a fraction of that. Thank you Dover!!!
Can I make a suggestion for a few other rescues? How about these three
for starters:

1. Lucky, Salz and Weldon, Principles of data communication
2. Korn, Digital Communications
3. Biglieri, et al., Introduction to Trellis Coded Modulation with Application
OK, back to the topic at hand:
This book's title is a little misleading. Since it lacks in-depth modulation and
synchronization discussions, I would not call it a Digital Comm principles
book. It is, in fact, one of two truly great classic books on Information and
Coding Theory. The other is Gallager's Information Theory book. What
makes this book a better read, in my mind, is the better organization and
more organic development of the subject matter. Both books exercise
great rigor, so if you are not willing to invest the time and effort in digging
into the math, this is not for you. There is much material here on error
exponents of convolutional codes and it's use in proving Shannon's noisy
channel coding theorem for convolutional codes. A topic rarely discussed
in any book. Also a unique find is an introduction to the Shannon,
Gallager, and Berlekamp, Sphere Packing bound. Although, this bound
has recently found much interest in the literature due to the discovery of
iterative codes, you'd be hard pressed to find mention of this in any book
(very high intimidation factor). And this book in fact does a great job in
striking a balance between block and convolutional codes in coverage with
some data compression thrown in for good measure.
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