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Joint Design of Channel-Source Coding for Compressive Sampling Systems

机译:压缩采样系统通道源编码的联合设计

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Compressive sampling (CS) is based on the principle of sampling signals according to their sparsity or compressibility as opposed to the rate specified by the Nyquist/Shannon sampling theorem. Shannon's separation principle of source and channel coding cannot always be used to improve CS reconstruction performance in the presence of noise, including conditions when the channel is time-varying and there is a delay constraint, or when multiple channels are present as in broadcast/multicast applications. In this paper, we propose performing joint design of the source and channel coding to improve noisy CS performance in multicast and time varying channels.
机译:压缩采样(CS)基于信号的稀疏性或可压缩性,而不是Nyquist / Shannon采样定理指定的速率,对信号进行采样。在存在噪声的情况下,包括信道随时间变化且存在延迟约束或广播/多播中存在多个信道的情况下,香农的源代码和信道编码分离原理不能始终用于改善CS重建性能。应用程序。在本文中,我们建议对源编码和信道编码进行联合设计,以改善多播和时变信道中的噪声CS性能。

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