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Uniform Prior Stimulus Generation

This is a stimulus generation class in which the number of filled bins is selected from a uniform distribution on [min_bins, max_bins].

Unique Properties

This stimulus generation class has two unique properties in addition to those inhereted from the Abstract and Abstract Binned classes.

- min_bins = 10 % Minimum number of bins that can be filled.
- max_bins = 50 % Maximum number of bins that can be filled.

generate_stimulus

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

Generates a stimulus by generating a frequency spectrum with self.unfilled_dB and self.filled_dB dB amplitudes. The number of filled bins is selected from a uniform distribution on [self.min_bins, self.max_bins].

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: 

- n_bins
- n_bins_filled_mean
- n_bins_filled_var