Gaussian Noise No Bins Stimulus Generation¶
This is a stimulus generation class in which each frequency's amplitude is chosen according to a Gaussian distribution. This class cannot work with binned representations.
Unique Properties¶
This stimulus generation class has two properties in addition to those inhereted from the Abstract class. Defaults:
amplitude_mean = -10 % Mean of the Gaussian from which the amplitude is chosen
amplitude_var = 3 % Variance of the Gaussian from which the amplitude is chosen
generate_stimulus¶
Generate a stimulus using a binless white-noise process.
OUTPUTS:
stim: self.nfft + 1 x 1 numerical vector,
the stimulus waveform,
Fs: 1x1 numerical scalar,
the sample rate in Hz.
spect: self.nfft / 2 x 1 numerical vector,
the half-spectrum, in dB.
binned_repr: [], empty because this is not a binned class.
Class Properties Used: