信息论基础...二元信源 信息熵 计算公式.

学习 时间:2026-09-28 16:58:58 阅读:9164
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。

最佳回答

繁荣的煎蛋

机智的飞机

2026-09-28 16:58:58

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

最新回答共有2条回答

  • 忧伤的衬衫
    回复
    2026-09-28 16:58:58

    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

上一篇 钢厂用什么来测量钢水温度

下一篇 虚拟语气的基本结构、详细、谢谢!