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Reducing Aliasing from Synthetic Audio Signals Using Polynomial Transition Regions

机译:使用多项式过渡区减少合成音频信号的混叠

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Sampling of discontinuous audio signals with rich spectra is a valuable asset in subtractive synthesis, but results in aliasing distortion. This letter proposes an aliasing-reduction technique, which is cost-effective, transient-free, and extensible to various discontinuities. It replaces the samples on a finite region around each discontinuity with values taken from a smooth polynomial, based on a novel interpretation of the differentiated polynomial waveform (DPW) method. In the musical pitch range, the number of operations in the proposed method is at least 40% smaller than in the DPW algorithm. The method is widely usable in sound synthesis applications.
机译:具有丰富频谱的不连续音频信号的采样是减法合成中的宝贵资产,但会导致混叠失真。这封信提出了一种减少混叠的技术,该技术具有成本效益,无瞬态并且可扩展到各种不连续性。它基于对微分多项式波形(DPW)方法的新颖解释,将每个不连续点周围有限区域上的样本替换为平滑多项式中的值。在音高范围内,所提出的方法中的操作数比DPW算法中的操作数至少少40%。该方法可广泛用于声音合成应用。

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