通过模拟纠错实现高效图像传输
Efficient Image Transmission Through Analog Error Correction
摘要：
本文提出了一种新的模式，图像传输模拟纠错码。传统的方案依赖于通过量化（这不可避免地导致显著的带宽扩展）来数字化图像，并通过数字纠错码（其不自动区分比特之间的不同重要性级别）来传输二进制比特流。为了在传输效率和质量方面取得更好的整体性能，我们建议使用单个模拟纠错码来代替数字量化、数字编码和数字调制。关键是正确地进行模拟编码。我们表明，这可以通过巧妙地利用一个优雅的“蝴蝶”混沌系统的属性。具体来说，我们展示了咬尾三分支面包师的地图代码和最大似然解码算法。仿真结果表明，所提出的模拟码实际上可以优于数字Turbo码，迄今为止已知的最好的代码之一。本文讨论的结果和调查结果的体积说话的有前途的潜力的模拟代码，尽管他们的相当短的历史。
英文摘要：
This paper presents a new paradigm for image transmission through analog error correction codes. Conventional schemes rely on digitizing images through quantization (which inevitably causes significant bandwidth expansion) and transmitting binary bit-streams through digital error correction codes (which do not automatically differentiate the different levels of significance among the bits). To strike a better overall performance in terms of transmission efficiency and quality, we propose to use a single analog error correction code in lieu of digital quantization, digital code and digital modulation. The key is to get analog coding right. We show that this can be achieved by cleverly exploiting an elegant "butterfly" property of chaotic systems. Specifically, we demonstrate a tail-biting triple-branch baker's map code and its maximum-likelihood decoding algorithm. Simulations show that the proposed analog code can actually outperform digital turbo code, one of the best codes known to date. The results and findings discussed in this paper speak volume for the promising potential of analog codes, in spite of their rather short history.
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