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Improving D-S Evidence Theory C Language and Python Implementation Based on Trust Discount/基于信任折扣的改进D-S证据理论 C语言和Python实现

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Seafood-SIMIT/Enhanced-D-S-Evidence-Theory

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Enhanced-D-S-Evidence-Theory

Improving D-S Evidence Theory C Language and Python Implementation Based on Trust Discount/基于信任折扣的改进D-S证据理论 C语言和Python实现

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算法实现框图 本代码为改进D-S证据理论的C语言和Python实现

pyCode

代码功能为输入txt文件的长度不限的声音信号和震动信号(需同步),以1024点为一帧分别使用预训练模型对信号进行分析,输出两模型基础概率分布作为证据理论的基础概率指派。

声音信号为提取MFCC特征进行识别,震动信号为直接将信号喂入。

##cCode cCode为该算法的C语言实现。

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Improving D-S Evidence Theory C Language and Python Implementation Based on Trust Discount/基于信任折扣的改进D-S证据理论 C语言和Python实现

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