量化输入线性系统的反卷积：信息论观点
Deconvolution of linear systems with quantized input: an information theoretic viewpoint
摘要：
尽管有大量的文献反卷积问题，很少做的混合环境中的信号被量化。在本文中，我们进行了一个信息论的方法来解卷积问题的一个简单的积分量化的二进制输入和采样噪声输出。我们把它转换成一个解码问题，我们提出并分析（理论和数值）一些低复杂度的在线算法来实现反卷积。
英文摘要：
In spite of the huge literature on deconvolution problems, very little is done for hybrid contexts where signals are quantized. In this paper we undertake an information theoretic approach to the deconvolution problem of a simple integrator with quantized binary input and sampled noisy output. We recast it into a decoding problem and we propose and analyze (theoretically and numerically) some low complexity on-line algorithms to achieve deconvolution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
