Norena Binned Stimulus Generation¶

This is a stimulus generation class in which stimuli are formed by filling the bin that houses one randomly chosen frequency.

This stimulus generation method has no properties in addition to those inhereted from the Abstract and Abstract Binned classes.

[stim, Fs, spect, binned_repr, frequency_vector] = generate_stimulus(self)

Generate a stimulus vector of length self.nfft+1 where the bin of a randomly chosen frequency is filled.

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:

- min_freq
- max_freq
- filled_dB
- unfilled_dB