比值可配置多重描述相关变换编码

Daichi Saitoh, T. Yakoh
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引用次数: 2

摘要

多描述编码(MDC)是一种从单个数据生成多个描述的源编码技术。MDC解码器根据这些描述重建数据。即使某些描述丢失,解码器也可以从其他描述中重建类似的数据。因此,这种编码技术有望应用于在多径噪声网络中更愿意接受数据错误而不是重传丢失或错误数据的应用。多描述相关变换编码(MDCTC)是一种用矩阵实现多描述相关变换的方法。在此基础上,本文提出了比值可配置多描述相关变换编码(RMDCTC)方法,该方法可以根据信道带宽的比例调整描述间的数据大小比例。该方法适用于非对称多径噪声网络中允许误差通信的应用。数学分析和实验结果验证了该方法的有效性。
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Ratio configurable multiple description correlating transforms coding
Multiple description coding (MDC) is one of source coding techniques which generate several descriptions from a single data. A decoder of MDC reconstructs the data from these descriptions. Even if some descriptions are lost, the decoder can reconstruct a similar data from the other descriptions. Therefore, this coding technique is expected to apply applications which prefer accepting error of data to retransmitting the lost or erroneous data over multipath noisy network. Multiple description correlating transforms coding (MDCTC) is a method to realize MDC with a matrix. Based on this method, this paper proposes the method, ratio configurable multiple description correlating transforms coding (RMDCTC), which can adjust the data size ratio among descriptions to fit the ratio of channel bandwidths. The proposed method is suitable to apply error allowable communicating applications over asymmetric multipath noisy network. Mathematical analysis and experimental results verify the effectiveness of the proposed method.
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