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Progressive and Error-Resilient Transmission Strategies for VLC Encoded Signals ower Noisy Channels

机译:带噪声信道的VLC编码信号的渐进式和容错传输策略

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This paper addresses the issue of robust and progressive transmission of signals (e.g., images, video) encoded with variable length codes (VLCs) over error-prone channels. This paper first describes bitstream construction methods offering good properties in terms of error resilience and progressivity. In contrast with related algorithms described in the literature, all proposed methods have a linear complexity as the sequence length increases. The applicability of soft-input soft-output (SISO) and turbo decoding principles to resulting bitstream structures is investigated. In addition to error resilience, the amenability of the bitstream construction methods to progressive decoding is considered. The problem of code design for achieving good performance in terms of error resilience and progressive decoding with these transmission strategies is then addressed. The VI..C code has lo lie such that the symbol energy is mainly concentrated on the first bits of the symbol representation (i.e., on the first transitions of the corresponding codetree). Simulation results reveal high performance in terms of symbol error rate (SER) and mean-square reconstruction error (MSB). These error-resilience and progressivity properties are obtained without any penalty in compression efficiency. Codes with such properties are of strong interest for the binarization of M-ary sources in state-of-the-art image, and video coding systems making use of, for example, the liBCOT or CABAC algorithms. A prior statistical analysis of the signal allows the construction of the appropriate binarization code.
机译:本文解决了在易错信道上以可变长度代码(VLC)编码的信号(例如图像,视频)的稳健和渐进传输的问题。本文首先介绍了比特流构建方法,这些方法在错误恢复能力和累进性方面具有良好的性能。与文献中描述的相关算法相反,所有提出的方法都随着序列长度的增加而具有线性复杂度。研究了软输入软输出(SISO)和Turbo解码原理对所得位流结构的适用性。除了容错能力,还考虑了比特流构造方法对渐进解码的适应性。然后解决了利用这些传输策略在差错弹性和渐进解码方面实现良好性能的代码设计问题。 VI..C代码的位置使得符号能量主要集中在符号表示的第一位上(即,在对应码树的第一转换上)。仿真结果显示出在符号错误率(SER)和均方根重构错误(MSB)方面的高性能。获得这些容错性和累进性,而没有压缩效率的任何损失。对于具有最新性能的图像中的Mary源进行二值化,以及使用例如liBCOT或CABAC算法的视频编码系统,具有这种特性的代码引起了极大的兴趣。信号的先前统计分析允许构造适当的二进制化代码。

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