用于数字D类音频功放的伪自然采样算法综述

伪自然采样方法是对数字D类音频功放中均匀采样脉冲宽度调制（Uniform-sampling Pulse Width Modulation,UPWM）失真校正的主流方法。近年来，如何使伪自然采样算法在校正谐波失真的同时降低算法的计算复杂度成为研究重点。首先介绍了伪自然采样方法的谐波失真校正原理，然后从UPWM面临的问题出发分别描述和分析了近年来涌现的各种伪自然采样算法的原理及其存在的问题，最后从谐波失真校正效果和计算复杂度方面比较和综合评价了不同伪自然采样算法，并展望了伪自然采样算法未来需要进一步研究的方向。

Survey on Pseudo-natural Sampling Algorithms for Digital Class D Audio Power Amplifiers

The pseudo-natural sampling method is the most popular method for uniform-sampling pulse width modulation(UPWM) distortion correction in digital Class D audio power amplifiers.In recent years,how to make the pseudo-natural sampling algorithm reduce the computational complexity under the condition of having harmonic distortion correction capability has become the research focus.Firstly,the harmonic distortion correction principle of the pseudo-natural sampling method is introduced.Then,by explaining problems caused by UPWM,the principles and problems of various pseudo-natural sampling algorithms proposed in recent years are described and analyzed respectively.Finally,the harmonic distortion correction effects and computational complexities of different pseudo-natural sampling algorithms are compared and comprehensively evaluated.Moreover,the future research directions of pseudo-natural sampling algorithms are prospected.