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THE FUNDAMENTAL THEOREM OF INFORMATION THEORY FROM THE SAMPLING THEOREM POINT OF VIEW

机译:从抽样定理观点出发,信息论的基本定理

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In this paper,we investigate the relationship between the nonuniform sampling theorem and the fundamental theorem of information theory.This analysis leads to an alternative method of error correction.We are proposing not to correct for the lost samples but rather to reconstruct the original signal from the rest of the samples using nonuniform sampling reconstruction techniques.This idea can be generalized to additive noise where the binary digits are in error but there is no erasure.
机译:本文研究了非均匀采样定理和信息论基本定理之间的关系。这种分析导致了另一种纠错方法。我们建议不对丢失的样本进行纠正,而是从中重建原始信号。其余样本使用非均匀采样重建技术。该思想可推广到二进制数字有误但无擦除的加性噪声​​。

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