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Comments on 'Finite word-length effects of pipelined recursive digital filters' [and reply]

机译:关于“流水线递归数字滤波器的有限字长效应”的评论[和回复]

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The author comments that it is generally inappropriate to use stochastic models for coefficient quantization errors in digital filters, as proposed by Chang and Bliss (see ibid., vol.42, p.1983-95, Aug. 1994), since the associated effects are deterministic and amenable to linear analysis. Chang et. al. reply that the statistical analysis of coefficient quantization noise in digital filters is a useful technique because it gives theoretical and practical results without resorting to lengthy case-by-case trials. The realization problem of digital filters can thus be simplified analytically by statistical approaches. Furthermore, statistical approaches have an advantage of supplying unified tools for round-off and coefficient quantization noise.
机译:作者评论说,如Chang和Bliss所建议的那样,使用随机模型来解决数字滤波器中的系数量化误差通常是不合适的(见同上,第42卷,第1983-95页,1994年8月),因为有相关的影响。是确定性的并且可以进行线性分析。张等等答复认为,数字滤波器中系数量化噪声的统计分析是一种有用的技术,因为它可以提供理论和实际结果,而无需进行冗长的个案研究。因此,可以通过统计方法在分析上简化数字滤波器的实现问题。此外,统计方法的优势在于可以提供用于舍入和系数量化噪声的统一工具。

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