Unparalleled learning tool and guide to error correction coding Error correction coding technique allows detection and correction of errors that occur during data transmission in digital communication systems. This technique is almost universally used in modern communication systems, and thus is an important component of modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both theoretical and practical aspects of error correction coding, with a presentation suitable for a variety of audiences, including graduate student in electrical engineering, mathematics, or computer science. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and RS codes, convolution codes, turbo codes and LDPC codes. This text offers a "classical" coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolution codes, as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, graphics factors, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts and iterative decoding.