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Combined source-channel coding schemes for video transmission overan additive white Gaussian noise channel

机译:在加性高斯白噪声信道上进行视频传输的组合源信道编码方案

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There has been an increased interest in the transmission ofndigital video over real-world transmission media, such as the directnbroadcast satellite (DBS) channel. Video transmitted over such a channelnis subject to degradation due, in part, to additive white Gaussian noisen(AWGN). Some form of forward error-control (FEC) coding may be appliednin order to reduce the effect of the noise on the transmitted bitstream;nhowever, determination of the appropriate level of FEC coding isngenerally an unwieldy and computationally intensive problem, as it mayndepend upon a variety of parameters such as the type of video, thenavailable bandwidth, and the channel SNR. More specifically, a combinednsource-channel coding approach is necessary in optimally allocating ratenbetween source and channel coding subject to a fixed constraint onnoverall transmission bandwidth. In this paper we develop a method ofnoptimal bit allocation under the assumption that the distortion isnadditive and independent on a frame-by-frame basis. A set of universalnoperational distortion-rate characteristics is developed which balancesnthe tradeoff between source coding accuracy and channel error protectionnfor a fixed overall transmission rate and provides the basis for thenoptimal bit allocation approach. The results for specific source andnchannel coding schemes show marked improvement over suboptimum choicesnof channel error protection. In addition, we show that our resultsnapproach information-theoretic performance bounds which are developed innthis work
机译:人们越来越关注在诸如直接广播卫星(DBS)频道之类的真实传输介质上传输数字视频的兴趣。通过这种通道传输的视频会由于部分加性高斯白噪声(AWGN)而降级。可以应用某种形式的前向错误控制(FEC)编码,以减少噪声对传输的比特流的影响;但是,确定合适水平的FEC编码通常不会带来麻烦和计算量大的问题,因为它可能取决于各种参数,例如视频类型,可用带宽和信道SNR。更具体地,在对整个传输带宽施加固定约束的情况下,在源和信道编码之间最优地分配速率时,需要组合的源-信道编码方法。在本文中,我们假设失真是可加的并且在逐帧的基础上独立的,我们开发了一种最佳比特分配方法。建立了一套通用的失真率特性,可以在源编码精度和信道错误保护之间权衡,以达到固定的总传输速率,并为最优比特分配方法提供基础。特定源和n通道编码方案的结果表明,与通道错误保护的次优选择相比,有了明显的改进。此外,我们证明了我们的结果接近了在这项工作中开发的信息理论性能范围

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