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首页> 外文会议>Audio Engineering Society international convention >Application of Spectral-Domain Matching and Pseudo Non-Linear Convolution to Down-Sample-Rate Conversion (DSRC)
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Application of Spectral-Domain Matching and Pseudo Non-Linear Convolution to Down-Sample-Rate Conversion (DSRC)

机译：光谱域匹配和伪非线性卷积对倒下采样率转换（DSRC）的应用

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摘要

A method of down-sample-rate conversion is discussed that exploits processes of spectral-domain matching and pseudo non-linear convolution applied to discrete data frames as an alternative to conventional convolutional filter and sub-sampling techniques. Spectral-domain matching yields a complex sample sequence that can subsequently be converted into a real sequence using the Discrete Hilhert Transform. The method is shown to result in substantially reduced time dispersion compared to the standard convolutional approach and circumvents filter symmetry selection such as linear phase or minimum phase. The formal analytic process is presented and validated through simulation then adapted to digital-audio sample-rate conversion by using a multi-frame overlap and add process. It has been tested in both LPCM-to-LPCM and DSD-to-LPCM applications where the latter can be simplified using a look-up code table.
机译：讨论了一种下采样率转换的方法，其利用应用于离散数据帧的光谱域匹配和伪非线性卷积的过程作为传统卷积滤波器和子采样技术的替代。光谱域匹配产生复杂的样品序列，其随后可以使用离散的HILHERT变换将其转换成真实序列。与标准卷积方法相比，该方法显然导致基本上减少的时间分散，并避免过滤对称选择，例如线性相位或最小相位。通过使用多帧重叠并添加过程，通过模拟提出和验证了正式的分析过程，然后适应数字音频采样率转换。它已经在LPCM-to-LPCM和DSD到LPCM应用中进行了测试，其中可以使用查找代码表简化后者。

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