Filtered external noise has been an important tool in characterizing the spatial-frequency sensitivity of perceptual templates. Typically, low-pass- and/or high-pass-filtered external noise is added to the signal stimulus. Thresholds, the signal energy necessary to maintain given criterion performance levels, are measured as functions of the spatial-frequency passband of the external noise. An observer model is postulated to segregate the impact of the external noise and the internal noise. The spatial-frequency sensitivity of the perceptual template is determined by the relative impact exerted by external noise in each frequency band. The perceptual template model (PTM) is a general observer model that provides an excellent account of human performance in white external noise [Vision Res. 38, 1183 (1998); J. Opt. Soc. Am. A 16, 764 (1999)]. We further develop the PTM for filtered external noise and apply it to derive the spatial-frequency sensitivity of perceptual templates.
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机译：滤波后的外部噪声已成为表征感知模板的空间频率敏感性的重要工具。通常，将低通和/或高通滤波的外部噪声添加到信号激励中。阈值是维持给定标准性能水平所需的信号能量，它是外部噪声的空间频率通带的函数。假设建立观察者模型以分离外部噪声和内部噪声的影响。感知模板的空间频率敏感性由每个频带中外部噪声施加的相对影响确定。感知模板模型（PTM）是一个通用的观察者模型，它很好地说明了人类在白色外部噪声中的表现[Vision Res。 38，1183（1998）; J.Opt。 Soc。上午。 A 16，764（1999）]。我们进一步开发了用于过滤外部噪声的PTM，并将其应用到可导出感知模板的空间频率敏感性。
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