**Essential Coding Theory**

by Venkatesan Guruswami, Atri Rudra, Madhu Sudan

**Publisher**: University at Buffalo 2014**Number of pages**: 266

**Description**:

Error-correcting codes (henceforth, just codes) are clever ways of representing data so that one can recover the original information even if parts of it are corrupted. The basic idea is to judiciously introduce redundancy so that the original information can be recovered even when parts of the (redundant) data have been corrupted.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Lecture Notes on Network Information Theory**

by

**Abbas El Gamal, Young-Han Kim**-

**arXiv**

Network information theory deals with the fundamental limits on information flow in networks and optimal coding and protocols. These notes provide a broad coverage of key results, techniques, and open problems in network information theory.

(

**12573**views)

**Algorithmic Information Theory**

by

**Peter D. Gruenwald, Paul M.B. Vitanyi**-

**CWI**

We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain this quantitative approach to defining information and discuss the extent to which Kolmogorov's and Shannon's theory have a common purpose.

(

**8764**views)

**Entropy and Information Theory**

by

**Robert M. Gray**-

**Springer**

The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.

(

**14857**views)

**A primer on information theory, with applications to neuroscience**

by

**Felix Effenberger**-

**arXiv**

This chapter is supposed to give a short introduction to the fundamentals of information theory, especially suited for people having a less firm background in mathematics and probability theory. The focus will be on neuroscientific topics.

(

**7333**views)