Source and Channel Coding: An Algorithmic Approach
Dec 2012 · The Springer International Series in Engineering and Computer Science Book 150 · Springer Science & Business Media
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About this ebook
oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs and benefits matter. It is safe to say that most of the recent advances in information theory and coding are in the engineering of coding. These thoughts motivate the present text book: A coded communication book based on methods and algorithms, with information theory in a necessary but supporting role. There has been muchrecent progress in coding, both inthe theory and the practice, and these pages report many new advances. Chapter 2 cov ers traditional source coding, but also the coding ofreal one-dimensional sources like speech and new techniques like vector quantization. Chapter 4 is a unified treatment of trellis codes, beginning with binary convolu tional codes and passing to the new trellis modulation codes.
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3.7
3 reviews
Omar Mhana
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October 14, 2021
.gül00 shakedown0 try using 0two
Anil Das
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July 25, 2021
AÀA BOSS NETWORK
1 person found this review helpful
Anil Das
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May 24, 2021
AÀA BOSS NETWORK
1 person found this review helpful
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