软裁剪算法中的混叠减少

Fabian Esqueda, V. Välimäki, S. Bilbao
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引用次数: 12

摘要

用于实现音乐失真效果的软剪辑算法由于其非线性行为是混叠的主要来源。如何设计一种计算效率高、不存在过采样的无混叠失真方法是一个研究难题。该方法将软裁剪分解为硬裁剪和低阶多项式部分。提出了一种基于带限斜坡函数的多项式近似的硬夹波信号混叠抑制技术。这种校正函数是通过准带限制信号一阶导数中引入的不连续来实现的。该方法有效地降低了低频软夹音频信号中的可感知混叠现象。这项工作是实现无别名非线性虚拟模拟效果的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aliasing reduction in soft-clipping algorithms
Soft-clipping algorithms used to implement musical distortion effects are major sources of aliasing due to their nonlinear behavior. It is a research challenge to design computationally efficient methods for alias-free distortion without over-sampling. In the proposed approach, soft clipping is decomposed into a hard clipper and a low-order polynomial part. A technique for aliasing reduction of the hard-clipped signal is presented based on a polynomial approximation of the ban-dlimited ramp function. This correction function operates by quasi-bandlimiting the discontinuities introduced in the first derivative of the signal. The proposed method effectively reduces perceivable aliasing in soft-clipped audio signals having low frequency content. This work presents the first step towards alias-free implementations of nonlinear virtual analog effects.
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