Finite-length signal quantization using discrete optimization

M. Chapman, A. Demir, P. Feldmann
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引用次数: 1

Abstract

This paper introduces a novel, discrete optimization based method for the computation of coarsely quantized, oversampled finite length digital signals. The method, while only suitable for offline computation, is more general than the established sigma-delta encoding technique, due to its capacity to take into account complex specifications and design trade-offs. Signal generation is formulated as a linearly constrained, convex, integer quadratic programming problem which is solved through an application specific branch-and-bound algorithm. The optimization method is illustrated with a fractional-N frequency synthesizer based modulator design example.
使用离散优化的有限长度信号量化
本文介绍了一种基于离散优化的新方法,用于计算粗量化、过采样的有限长度数字信号。该方法虽然只适用于离线计算,但由于它能够考虑复杂的规范和设计权衡,因此比现有的sigma-delta编码技术更通用。信号生成被表述为一个线性约束的凸整数二次规划问题,并通过特定应用的分支定界算法求解。以一个基于分数n频率合成器的调制器设计实例说明了优化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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