| 000 | 01369aam a2200277 i 4500 | ||
|---|---|---|---|
| 001 | 016717660 | ||
| 003 | Uk | ||
| 005 | 20251126103834.0 | ||
| 008 | 130808s2015 enka b 001|0 eng c | ||
| 015 |
_aGBB5B8707 _2bnb |
||
| 016 | 7 |
_a016717660 _2Uk |
|
| 020 | _a9781739672706 (pbk.) | ||
| 035 | _a(WlAbNL)vtls006855347 | ||
| 040 |
_aUK-WkNB _beng _cIISERB _erda |
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| 042 | _aukscp | ||
| 082 | 0 | 4 |
_a003.54 St71I2 _223 |
| 100 | 1 |
_aStone, James V. _eauthor. _933685 |
|
| 245 | 1 | 0 |
_aInformation theory : _ba tutorial introduction / _cJames V. Stone. |
| 260 |
_bSebtel Press, _c2022. |
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| 300 |
_a276 pages : _billustrations (black and white) ; _c23 cm |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aWhat is information? -- Entropy of discrete variables -- Source coding theorem -- Noisy channel coding theorem -- Entropy of continuous variables -- Mutual information: continuous -- Channel capacity: continuous -- Thermodynamic entropy and information -- Information as Nature's currency -- Further reading -- A. Glossary -- B. Mathematical symbols -- C. Logarithms -- D. Probability density functions -- E. Averages from distributions -- F. The rules of probability -- G. The Gaussian distribution -- H. Key equations. | |
| 650 | 0 |
_aInformation theory. _933686 |
|
| 942 |
_2ddc _cBK |
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| 999 |
_c11257 _d11257 |
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