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An error control scheme for transmission of vector quantization data over noisy channels

机译:用于在噪声信道上传输矢量量化数据的错误控制方案

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This paper presents an error control scheme for transmitting vector-quantized data over noisy channels. First, we review a self-organizing feature map (SOFM) based approach to construct the mapping from the codebook of the quantizer to the channel signal set of the communication system. This approach is robust with respect to channel noise even if we do not use any error control scheme in the communication system. Afterwards, a new trellis type quantizer, namely, the trellis coded Kohonen (1984) map (TCKM), is presented. The design process of the TCKM, which is based on the neighborhood structure of SOFMs, is simpler than that of conventional trellis coded vector quantizers (TCVQs). Simulation results show that the performance of TCKMs is comparable with that of TCVQs. Last, we introduce the error control scheme based on the concepts of the above two applications of SOFMs. Simulation results show that the proposed error control scheme is more robust with respect to channel noise. The advantage of our approaches mentioned above is that the design processes of transmission systems are predefined before the construction of the codebook. Thus, different codebooks with the same neighborhood structure can share the same design.
机译:本文提出了一种在噪声信道上传输矢量量化数据的错误控制方案。首先,我们回顾一种基于自组织特征图(SOFM)的方法,以构建从量化器的码本到通信系统的信道信号集的映射。即使我们在通信系统中不使用任何差错控制方案,这种方法对于信道噪声也是健壮的。然后,提出了一种新的网格类型量化器,即网格编码的Kohonen(1984)地图(TCKM)。基于SOFM邻域结构的TCKM的设计过程比传统的网格编码矢量量化器(TCVQ)的设计过程更简单。仿真结果表明,TCKM的性能与TCVQ相当。最后,我们基于SOFM的以上两个应用的概念介绍了错误控制方案。仿真结果表明,所提出的差错控制方案在信道噪声方面更为鲁棒。我们上面提到的方法的优点在于,传输系统的设计过程是在构造码本之前预先定义的。因此,具有相同邻域结构的不同密码本可以共享相同的设计。

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