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Generalized multiple sweep measurement

机译:广义多次扫描测量

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A system identification by impulse response measurements with multiple sound source configurations can benefit greatly from time-efficient measurement procedures. An optimized method by interleaving and overlapping of multiple exponential sweeps (MESM) used as excitation signals was presented by Majdak et al. (2007). For single system identifications, however, much higher signal-to-noise ratios (SNR) can be reached with sweeps whose magnitude spectra are adapted to the background noise spectrum of the acoustical environment, as proposed by Muller & Massarani (2001). We investigated on which conditions and to what extent the efficiency of multiple sweep measurements can be increased by using arbitrary, spectrally adapted sweeps. An extension of the MESM approach towards generalized sweep spectra is presented, along with a recommended measurement procedure and a prediction of the efficiency of multiple sweep measurements depending on typical measurement conditions.
机译:具有多种声源配置的脉冲响应测量的系统识别可以从节省时间测量过程中受益匪浅。 Majdak等人介绍了用作激励信号的多个指数扫描(MESM)的交织和重叠的优化方法。 (2007)。然而,对于单个系统标识,可以通过扫描来达到更高的信噪比(SNR),其幅度谱适应声学环境的背景噪声谱,如Muller&Massarani(2001)所提出的。我们研究了哪些条件以及通过使用任意的光谱适应的扫描可以增加多个扫描测量的效率的程度。提出了朝向广义扫描光谱的MESM方法的延伸,以及推荐的测量过程和根据典型测量条件的多次扫描测量效率的预测。

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