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(a) The extent of improvement in detection averaged across subjects as a function of the signal conditions is represented. In condition 1 (circles) the signal was equally detectable (0 dB) and then, the 640 Hz component was increased by 5, 10, 15, 20, 25 dB. The solid line illustrates the predicted values from the statistical summation model for condition 1. In condition 2 (squares), the signal was equally detectable (0 dB) and then, the 320, 640, and 1280 Hz components were increased by 5, 10, 15 dB. The squares were slightly moved to the right to make it easier to observe. The standard deviations are represented by the error bars. (b) The predicted improvements in detection from the statistical summation model as a function of the measured improvements in detection is represented for conditions 1 and 2. R2 is shown on the upper right of the graph.
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The detection of multicomponent signals for which the components are not equidetectable is precisely investigated as a function of the level difference ΔL i/j between components. The detection thresholds are determined for a seven-tone complex signal with random starting phases masked by white noise. Level differences between the components are examined. A model for non-equidetectable conditions based on the statistical summation model is described. The improvement in detection is calculated from the level difference between components that is related to the thresholds for single components. The model predictions are in accordance with the experimental results.
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