An approximate analysis of sigma-delta modulation of a Gauss-Markov process

A. Bist
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Abstract

Addresses the problem of approximating the quantization noise spectra when a Gauss-Markov process is input to a sigma-delta modulator. The process is modeled using a state space approach. Fine quantization approximations are used to derive expressions for the output spectrum. Results similar to those of Gray's [1990] analysis are obtained
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高斯-马尔可夫过程的σ - δ调制的近似分析
解决了当一个高斯-马尔可夫过程输入到一个sigma-delta调制器时,量化噪声谱的逼近问题。该流程使用状态空间方法建模。精细量化近似用于导出输出谱的表达式。得到了与Gray[1990]分析相似的结果
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