On the capacity and normalisation of ISI channels

Xiang, Wei and Pietrobon, Steven S. (2003) On the capacity and normalisation of ISI channels. IEEE Transactions on Information Theory, 49 (9). pp. 2263-2268. ISSN 0018-9448

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Abstract

[Abstract]: We investigate the capacity of various ISI channels with additive white Gaussian noise. Previous papers showed
a minimum Eb/N0 of −4.6 dB, 3 dB below the capacity of
a flat channel, is obtained using the water-pouring capacity
formulas for the 1 + D channel. However, these papers did
not take into account that the channel power gain can be
greater than unity when water-pouring is used. We present a
generic power normalization method of the channel frequency
response, namely peak bandwidth normalisation, to facilitate the fair capacity comparison of various ISI channels. Three types of ISI channel, i.e., adder channels, RC channels and magnetic recording channels, are examined. By using our channel power gain normalization, the capacity curves of these ISI channels are shown.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2003 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited: 13 May 2008 01:25
Last Modified: 02 Jul 2013 22:52
Uncontrolled Keywords: capacity, normalisation, ISI
Fields of Research (2008): 08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
Identification Number or DOI: https://doi.org/10.1109/TIT.2003.815809
URI: http://eprints.usq.edu.au/id/eprint/3379

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