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DTIC ADA190316: Information Capacity of Gaussian Channels |
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by Defense Technical Information Center |
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Information capacity of Gaussian channels is one of the |
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basic problems of information theory. Shannon's results |
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for white Gaussian channels and Fano's waterfilling |
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analysis of stationary Gaussian channnels are two of the |
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best-known works of early information theory. Results are |
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given here which extend to a general framework these |
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results and others due to Gallager and to Kadota, Zakai, |
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and Ziv. The development applies to arbitrary Gaussian |
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channels when the channel noise has sample paths in a |
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separable Banach space, and to a large class of Gaussian |
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channels when the noise has sample paths in a linear |
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topological vector space. Solutions for the capacity are |
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given for both matched and mismatched channels. Keywords: |
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Gaussian channels; Channel capacity; Shannon theory; |
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Information theory. |
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Date Published: 2018-02-17 14:53:55 |
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Identifier: DTIC_ADA190316 |
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Item Size: 19394747 |
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Language: english |
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Media Type: texts |
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# Topics |
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DTIC Archive; Baker, Charles R ; NORT... |
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# Uploaded by |
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@chris85 |
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