文件名称:mlp
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一个MATLAB工具箱，可以进行快速而可靠的听觉阈值的计算！目前很少有类似的方法。-A MATLAB toolbox for rapid and
reliable auditory threshold estimation
reliable auditory threshold estimation
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mlp
...\DefaultParameters.mat
...\EvaluateAnswer.m
...\Experiments
...\...........\AbsoluteThreshold.m
...\...........\BackwardMasking.m
...\...........\DurationDiscriminationComplexTone.m
...\...........\DurationDiscriminationPureTone.m
...\...........\DurationDiscriminationWhiteNoise.m
...\...........\EmbeddedTestTone.m
...\...........\ForwardMasking.m
...\...........\GapDetectionWhiteNoise.m
...\...........\GapDiscriminationWhiteNoise.m
...\...........\IntensityDiscriminationComplexTone.m
...\...........\IntensityDiscriminationPureTone.m
...\...........\IntensityDiscriminationWhiteNoise.m
...\...........\MelodyMistuningDetection.m
...\...........\PitchDiscriminationComplexTone.m
...\...........\PitchDiscriminationPureTone.m
...\...........\ProfileAnalysis.m
...\...........\PulseTrainDurationDiscrimination.m
...\...........\RippleNoiseDiscrimination.m
...\...........\SAM_Detection_200Hz.m
...\...........\SAM_Detection_20Hz.m
...\...........\SAM_Detection_60Hz.m
...\...........\SAM_Detection_8Hz.m
...\...........\SimulataneousMasking.m
...\...........\TemporalOrderTones.m
...\MLfunctions
...\...........\CalculateLikelihood.m
...\...........\FindThreshold.m
...\...........\InvLogistic.m
...\...........\Logistic.m
...\MLP A MATLAB toolbox for rapid and reliable auditory threshold estimation.pdf
...\mlp.m
...\MLParameters.m
...\MLParameters_pc.m
...\SignalFunctions
...\...............\AddTwoSounds.m
...\...............\ApplyAmplitudeModulation.m
...\...............\AttenuateSound.m
...\...............\ConcatenateSounds.m
...\...............\GenerateEnvelope.m
...\...............\GenerateNoise.m
...\...............\GenerateSilentInterval.m
...\...............\GenerateTone.m
...\...............\ShuffleSounds.m
...\WriteDataFile.m
...\DefaultParameters.mat
...\EvaluateAnswer.m
...\Experiments
...\...........\AbsoluteThreshold.m
...\...........\BackwardMasking.m
...\...........\DurationDiscriminationComplexTone.m
...\...........\DurationDiscriminationPureTone.m
...\...........\DurationDiscriminationWhiteNoise.m
...\...........\EmbeddedTestTone.m
...\...........\ForwardMasking.m
...\...........\GapDetectionWhiteNoise.m
...\...........\GapDiscriminationWhiteNoise.m
...\...........\IntensityDiscriminationComplexTone.m
...\...........\IntensityDiscriminationPureTone.m
...\...........\IntensityDiscriminationWhiteNoise.m
...\...........\MelodyMistuningDetection.m
...\...........\PitchDiscriminationComplexTone.m
...\...........\PitchDiscriminationPureTone.m
...\...........\ProfileAnalysis.m
...\...........\PulseTrainDurationDiscrimination.m
...\...........\RippleNoiseDiscrimination.m
...\...........\SAM_Detection_200Hz.m
...\...........\SAM_Detection_20Hz.m
...\...........\SAM_Detection_60Hz.m
...\...........\SAM_Detection_8Hz.m
...\...........\SimulataneousMasking.m
...\...........\TemporalOrderTones.m
...\MLfunctions
...\...........\CalculateLikelihood.m
...\...........\FindThreshold.m
...\...........\InvLogistic.m
...\...........\Logistic.m
...\MLP A MATLAB toolbox for rapid and reliable auditory threshold estimation.pdf
...\mlp.m
...\MLParameters.m
...\MLParameters_pc.m
...\SignalFunctions
...\...............\AddTwoSounds.m
...\...............\ApplyAmplitudeModulation.m
...\...............\AttenuateSound.m
...\...............\ConcatenateSounds.m
...\...............\GenerateEnvelope.m
...\...............\GenerateNoise.m
...\...............\GenerateSilentInterval.m
...\...............\GenerateTone.m
...\...............\ShuffleSounds.m
...\WriteDataFile.m