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Joint Source-Channel Coding of Sources with Memory using Turbo Codes and the Burrows-Wheeler Transform

机译:使用Turbo码和Burrows-Wheeler变换的具有存储器的源的联合源通道编码

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摘要

The Burrows-Wheeler Transform (BWT) [1] is a block sorting algorithm which has been proven to be useful in compressing text data [2]. More recently, schemes based on the BWT have been proposed for lossless data compression using LDPC [3]-[5] and Fountain [6] codes, as well as for joint source-channel coding of sources with memory [7],[8]. In this paper we propose a source-controlled Turbo coding scheme for the transmission of sources with memory over AWGN channels also based on the Burrows-Wheeler Transform. Our approach combines the BWT with a Turbo code and employs different energy allocation techniques for the encoded symbols before their transmission. Simulation results show that the performance of the designed scheme is close (within 1.5 dB) to the theoretical Shannon limit.
机译:Burrows-Wheeler变换(BWT)[1]是一种块排序算法,已被证明可用于压缩文本数据[2]。最近,已经提出了基于BWT的方案,用于使用LDPC [3]-[5]和Fountain [6]码进行无损数据压缩,以及用于带有存储器的源的联合源通道编码[7],[8]。 ]。在本文中,我们还基于Burrows-Wheeler变换提出了一种源控制的Turbo编码方案,用于通过AWGN通道传输带有存储器的源。我们的方法将BWT与Turbo码相结合,并在编码符号传输之前对编码符号采用不同的能量分配技术。仿真结果表明,所设计方案的性能接近理论香农极限(在1.5 dB以内)。

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