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Time-Invariant Context for Sample Rate Conversion Systems

机译:采样率转换系统的时不变上下文

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摘要

Digital systems dedicated to audio and speech processing usually require sample rate conversion units in order to adapt the sample rate from different signal flows: for instance 8 and 16 kHz for speech, 32 kHz for the broadcast rate, 44.1 kHz for CDs, and 48 kHz for studio work. The designer chooses the sample rate conversion (SRC) technology based on objective criteria, such as figures of complexity, development or integration cycle and of course performance characterization. The performances of the fractional SRC system include the in-band and the aliasing characterization plus its distortion behavior due to internal rounding errors. The paper shows the existence of a new compound time-invariant system made of multiple instances of the same SRC system. The characterization of the original SRC is obtained from the linear and distortion characteristics of this time-invariant system. Regular methods for characterizing time-invariant systems apply. The SRC system can be analyzed in black box conditions, either in batch processing or in real-time processing. Examples illustrate the capability of the method to fully recover characteristics and rounding noise behavior from actual SRC implementations.
机译:专用于音频和语音处理的数字系统通常需要采样率转换单元,以适应来自不同信号流的采样率:例如,语音的8和16 kHz,广播速率的32 kHz,CD的44.1 kHz和48 kHz用于工作室工作。设计人员根据客观标准(例如复杂度,开发或集成周期以及性能表征的数字)选择采样率转换(SRC)技术。小数SRC系统的性能包括带内和混叠特性以及由于内部舍入误差引起的失真行为。本文显示了一个新的复合时不变系统的存在,该系统由同一SRC系统的多个实例组成。从这个时不变系统的线性和失真特性可以得到原始SRC的特性。适用于表征时不变系统的常规方法。 SRC系统可以在批处理或实时处理的黑匣子条件下进行分析。示例说明了该方法从实际SRC实现中完全恢复特征和舍入噪声行为的能力。

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