信息论基础...二元信源 信息熵 计算公式.

学习 时间:2026-04-04 19:56:40 阅读:16
信息论基础...二元信源 信息熵 计算公式.不是联合熵。最好有图片形式的公式。写log时不必写底。

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烂漫的啤酒

留胡子的微笑

2026-04-04 19:56:40

已经调试过了信息熵计算源代码函数源程序 CalEntropy。mInformation Shannon Entropy calculationjma@hebut。edu。cn, 22/08/2007array : Discrete Probabilities SetH : Output Shannon Entropyfunction H = CalEntropy(array)Vector numbernum = length(array);Check probabilities sum to 1:if abs(sum(array) - 1) > 。00001,error('Probablities don''t sum to 1。')endRemove any zero probabilities %%zeroProbs = find(array < eps);if ~isempty(zeroProbs),array(zeroProbs) = [];disp('Removed zero or negative probabilities。')EndCompute the entropyH = -sum(array 。* log2(array)); % 单位 bit/symbol

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  • 孤独的彩虹
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    2026-04-04 19:56:40

    已经调试过了信息熵计算源代码函数源程序 CalEntropy。mInformation Shannon Entropy calculationjma@hebut。edu。cn, 22/08/2007array : Discrete Probabilities SetH : Output Shannon Entropyfunction H = CalEntropy(array)Vector numbernum = length(array);Check probabilities sum to 1:if abs(sum(array) - 1) > 。00001,error('Probablities don''t sum to 1。')endRemove any zero probabilities %%zeroProbs = find(array < eps);if ~isempty(zeroProbs),array(zeroProbs) = [];disp('Removed zero or negative probabilities。')EndCompute the entropyH = -sum(array 。* log2(array)); % 单位 bit/symbol

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