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3 - Important details on results from Shannon, Nyquist, and others

Published online by Cambridge University Press:  04 August 2010

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Summary

In Chapter 2, only introductory level details are presented for the many concepts listed. There are a few of these concepts that warrant a much more detailed discussion in this book. Usually this is because there is significant confusion on these topics even among well-experienced engineers, so that any new engineer to DWC technology is guaranteed to be even more confused. More often, however, I have found that many important aspects are simply missed in the literature – for example, the fact that the raised-cosine Nyquist filter is nearly the worst performing Nyquist filter option available.

DWC channel capacity – the fundamental work of Claude Shannon

In the middle of the twentieth century, Claude E. Shannon examined the theoretical capacity limit of a noise limited digital communications channel. From this work to today, the digital communications community has developed a set of “basic understandings” that, while being technically correct, contain enough unstated assumptions to lead to incomplete understandings. In this section the fundamental result of Shannon, as it has been further refined over the years, is examined in a number of different ways.

In 1948 Claude Shannon put forward a theorem, sometimes referred to as the Fundamental Theorem on Information Theory, which can be stated as [1]: (here repeated from Section 2.7)

Given a discrete memoryless channel (meaning that each signal symbol is perturbed by noise independently of the noise effects on all other symbols) with capacity C bits per second, and an information source with rate R bits per second where R < C, there exists a code such that the output of the source can be transmitted over the channel with an arbitrarily small probability of error. [emphasis added]

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Publisher: Cambridge University Press
Print publication year: 2010

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References

Ziemer, R. E., Tranter, W. H., Principles of Communications: Systems, Modulation, and Noise, Houghton Mifflin Co., Boston, 1976, p. 422.Google Scholar
Bazin, B., “A Class of MSK Baseband Pulse Formats With Sharp Spectral Rolloff,” IEEE Transactions on Communications, Vol. COM-27, No. 5, May 1979, pp. 826–829.CrossRefGoogle Scholar
harris, f. j., “On the Use of Windows for Harmonic Analysis With the Discrete Fourier Transform,” Proceedings of the IEEE, Vol. 66, No. 1, January 1978, pp. 51–83.CrossRefGoogle Scholar
Lam, P.-K., et al., “Nyquist Filters in Non-ISI Transmission,” Proceedings of the 40th IEEE Midwest Symposium on Circuits and Systems, vol. 1, Aug. 1997, pp. 561–564.Google Scholar
McCune, E., “Synthesis of a Superposition Based FIR Digital Baseband Filter,” Proceedings of the IEEE Midwest Symposium on Circuits and Systems, Aug. 1997.
Shannon, C. E., “A Mathematical Theory of Communication,” The Bell System Technical Journal, vol. 27, July, October 1948, pp. 379–423, 623–656.CrossRefGoogle Scholar
CE Shannon remembrance at http://www.corp.att.com/attlabs/reputation/timeline/16shannon.html
Zvarev, A. I., Handbook of Filter Synthesis, John Wiley & Sons, New York, 1967.Google Scholar
Oppenheim, A., Schafer, R., Discrete-time Signal Processing, Prentice Hall, New Jersey, 1989.Google Scholar
Paczonay, M., et al., “The Superpositioning Truncated Response Filter: a New Filter Structure for Baseband or pre-Modulation Filtering,” Proceedings of the IEEE Midwest Symposium on Circuits and Systems, vol. 1, Aug. 1997, pp. 481–484.Google Scholar
McCune, E., “Synthesis of a Superposition Based FIR Digital Baseband Filter,” Proceedings of the IEEE Midwest Symposium on Circuits and Systems, Aug. 1997.

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