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METHOD FOR PREDICTING DECODING PERFORMANCE OF APPROXIMATE DECODING OF NETWORK CODED SOURCE DATA USING POSITION SIMILARITY INFORMATION

机译:位置相似度信息预测网络编码源数据近似解码性能的方法

摘要

The present invention relates to network coding, and more specifically, to a decoding performance prediction method for approximate decoding utilizing the position resemblance information of network-coded source data. The decoding performance prediction method according to an embodiment of the present invention receives network-coded data and uses the correlation of the received data to approximately recover lost data. The decoding performance index of the present invention is computed to have a higher value if the success probability of the decoding is higher. When the packet loss ratio is 50% or less, the decoding performance index converges to the maximum saturation level as the position resemblance information decreases. When the packet loss ratio is more than 50%, the decoding performance index converges to the minimum saturation level as the position resemblance information decreases.
机译:本发明涉及网络编码,更具体地,涉及一种利用网络编码源数据的位置相似度信息进行近似解码的解码性能预测方法。根据本发明实施例的解码性能预测方法接收网络编码数据,并使用接收到的数据的相关性来近似恢复丢失的数据。如果解码的成功概率较高,则将本发明的解码性能指标计算为具有较高的值。当分组丢失率为50%以下时,随着位置相似度信息的减小,解码性能指标收敛至最大饱和度。当分组丢失率大于50%时,随着位置相似度信息的减小,解码性能指标收敛至最小饱和度水平。

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