Error coding is a fascinating subject as much, if not more so, as it is an indispensable part of modem engineering systems. Unfortunately, in a bid to remain general and to create a solid foundation upon which to build, many books on this subject are out of the reach of those with more engineering-based, or non-mathematical backgrounds. This is a pity because in many cases the maths is tractable with few and simple rules. If we are content to believe that it works, and let others worry about the deeper mysteries of how or why, then with a little practice the design and implementation of practical error coding systems becomes straightforward. In this text I have attempted to reveal the useful kernel of the subject, removing the shell of terms and proofs that usually surrounds it. Being somewhat empirical in nature ( an empiricist), and occasionally heard to quote the adage, 'if it works twice it's a law', my explanations take this form. For many, including myself, abstract ideas are often better grasped by practical illustration than from yards of theory.
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`... will gladden the heart of the practically inclined... Whether one wants to practise or to move into the research world, this book can act as an excellent launch-pad. ...other textbooks on various topics in this area written in Houghton's style would be very welcome indeed.'
Measurement Science and Technology
Part One: Error detection. Introduction. Parity checking. Cyclic redundancy checking. Part Two: Error correction, an introduction. Hamming codes. Error correction using the CRC. Part Three: Time domain Reed-Solomon coding Correcting errors in the time domain. Correcting two symbols. Part Four: Frequency domain Reed -Solomon coding. Frequency domain coding. Mixed domain error coding. Part Five: Packaging the data. Block-interleaving. Convolutional coding. Part Six: Practical considerations. Manipulating elements with hardware. Applications. Part Seven: Exercises. Questions. Solutions. Appendices. Index.
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