一类有限创新率信号的高速率量化分析

Ajinkya Jayawant, Animesh Kumar
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引用次数: 1

摘要

有限创新率(finite rate of innovation, FRI)信号的采集与完美重构最早由Vetterli、Marziliano和Blu提出[1]。据我们所知,在存在标量量化的情况下,它们的重建过程的稳定性还没有在文献中得到解决。对于FRI信号的一个重要子类——Dirac FRI信号的周期流,分析了在采集样本上引入量化后重构的稳定性。结果表明,狄拉克流参数的计算误差为0 (ε),其中ε为单样本量化误差。当ε足够小时,这个结果在高速率量化范围内成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High rate quantization analysis for a class of finite rate of innovation signals
Acquisition and perfect reconstruction of finite rate of innovation (FRI) signals was proposed first by Vetterli, Marziliano, and Blu [1]. To the best of our knowledge, the stability of their reconstruction procedure in the presence of scalar quantizers has not been addressed in the literature. For periodic stream of Dirac FRI signal, which is an important subclass of FRI signals, the stability of reconstruction when quantization is introduced on acquired samples is analyzed in this work. It is shown that the parameters of stream of Diracs can be obtained with error O(ε), where ε is the per sample quantization error. This result holds in the high-rate quantization regime when ε is sufficiently small.
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