Publication | Closed Access
MLDs in Forward and Backward Masking
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0
References
1972
Year
Image AnalysisMachine LearningEngineeringPattern AnalysisPattern RecognitionBackward MaskingNoiseBackward Masking SituationsSignal ProcessingInverse ProblemsComputer ScienceDeconvolutionSilent IntervalMasking-level DifferencesRegularization (Mathematics)Signal DetectionSignal SeparationStatistics
Masking-level differences (MLDs) of substantial magnitudes were found in forward and backward masking situations. Their magnitude diminishes exponentially as the silent interval between signal and masker increases. Implications of the data for current models relating to the MLD are suggested.