Bernoulli Stimulus Generation¶
This is a stimulus generation class in which each tonotopic bin has a probability bin_prob of being filled.
Unique Properties¶
This stimulus generation class has one property in addition to those inhereted from the Abstract and Abstract Binned classes. Default:
generate_stimulus¶
Generate a stimulus vector of length self.nfft+1.
Bins are filled with an an amplitude of self.unfilled_dB or self.filled_dB.
Each bin is randomly filled with a change of being filled
(amplitude = 0) with a probability of self.bin_prob.
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: self.n_bins x 1 numerical vector,
the binned representation.
frequency_vector: self.nfft / 2 x 1 numerical vector,
the frequencies associated with the spectrum, in Hz.
Class Properties Used: