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Signal detection in power-law noise: effect of spectrum exponents

机译:幂律噪声中的信号检测:频谱指数的影响

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Many natural backgrounds have approximately isotropic power spectra of the power-law form, P(f)(velence)K/f~(beta), where f is radial frequency. For natural scenes and mammograms, the values of the exponent, beta, range from 1.5 to 3.5. The ideal observer model predicts that for signals with certain properties and backgrounds that can be treated as random noise, a plot of log (contrast threshold) versus log (signal size) will be linear with slope, m, given by: m(velence)(beta-2)/2. This plot is referred to as a contrast-detail (CD) diagram. It is interesting that this predicts a detection threshold that is independent of signal size for beta equal to 2. We present two-alternative forced-choice (2AFC) detection results for human and channelized model observers of a simple signal in filtered noise with exponents from 1.5 to 3.5. The CD diagram results are in good agreement with the prediction of this equation.
机译:许多自然本底具有幂律形式的近似各向同性的功率谱,P(f)(velence)K / f〜β,其中f是径向频率。对于自然场景和乳房X线照片,指数beta的值范围是1.5到3.5。理想的观察者模型预测,对于具有某些可以被视为随机噪声的特性和背景的信号,对数(对比度阈值)与对数(信号大小)的关系图将呈线性,斜率为m,表示为:m(velence) (beta-2)/ 2。该图称为对比度细节(CD)图。有趣的是,它预测的检测阈值与等于2的beta的信号大小无关。我们为人类和信道化模型观察者提供了滤波信号中具有信号指数的简单信号的人类或信道化模型观察者的两种替代强迫选择(2AFC)检测结果。 1.5至3.5。 CD图的结果与该方程的预测非常吻合。

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