Estimating characteristic phase and delay from broadband interaural time difference tuning curves
Estimating characteristic phase and delay from broadband interaural time difference tuning curves
复制标题
从宽带耳间时间差调谐曲线估计特征相位和延迟
DOI：
10.1007/s10827-014-0529-1
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发表时间：
2014
影响因子：
1.2
通讯作者：
Führ H
中科院分区：
文献类型：
--
作者：
Lehmann J;Tellers P;Wagner H;Führ H
特征延迟和特征相位是双耳时差调谐曲线的形状参数。用于估计这些参数的标准程序是基于对具有变化频率的音调刺激测量的延迟曲线的测量。所有过程的共同点是检测相位谱的线性行为。因此，只有测试足够多的相关频率，才能预期可靠的估计。因此，估计精度取决于给定的带宽。基于一个线性模型，我们开发和实施的方法，从一个单一的宽带调谐曲线的特征相位和延迟的估计。我们提出了两种不同的估计算法，一个是基于傅立叶分析解释的特征延迟和相位，和其他的均方误差最小化的基础上。估计精度和鲁棒性的算法进行了测试，人工生成的数据与预定的特征延迟和相位值，并在鸟类和哺乳动物的电生理测量的样本数据。增加信噪比或带宽增加了算法的估计精度。频带定位和强校正也影响估计精度。对于实际的带宽和信噪比，最小化算法可靠且鲁棒地估计特征延迟和相位，并且优于傅里叶分析方法，并且具有上级性能。带宽相关的显著性阈值允许评估估计的特征延迟和相位值是否是测量的调谐曲线的有意义的形状参数。这些阈值还指示从耳间时间差调谐曲线获得可靠估计所需的采样率。
Characteristic delay and characteristic phase are shape parameters of interaural time difference tuning curves. The standard procedure for the estimation of these parameters is based on the measurement of delay curves measured for tonal stimuli with varying frequencies. Common to all procedures is the detection of a linear behavior of the phase spectrum. Hence a reliable estimate can only be expected if sufficiently many relevant frequencies are tested. Thus, the estimation precision depends on the given bandwidth. Based on a linear model, we develop and implement methods for the estimation of characteristic phase and delay from a single broadband tuning curve. We present two different estimation algorithms, one based on a Fourier-analytic interpretation of characteristic delay and phase, and the other based on mean square error minimization. Estimation precision and robustness of the algorithms are tested on artificially generated data with predetermined characteristic delay and phase values, and on sample data from electrophysiological measurements in birds and in mammals. Increasing the signal-to-noise ratio or the bandwidth increases the estimation accuracy of the algorithms. Frequency band location and strong rectification also affect the estimation accuracy. For realistic bandwidths and signal-to-noise ratios, the minimization algorithm reliably and robustly estimates characteristic delay and phase and is superior to the Fourier-analytic method. Bandwidth-dependent significance thresholds allow to assess whether the estimated characteristic delay and phase values are meaningful shape parameters of a measured tuning curve. These thresholds also indicate the sampling rates needed to obtain reliable estimates from interaural time difference tuning curves.
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