To smooth the image, a Gaussian filter kernel is convolved with the image. If the base process is a Gaussian process, the convolved process is Gaussian as well. This series is convolved with a seismic wavelet to produce the synthetic seismogram. For an instrument response, this is then convolved with the spectral response of the instrument. The convolutional layer includes filters that are convolved with the input. Then, each component is convolved with the impulse response of the filter. The filters are convolved with the signal, resulting in a so-called Gabor space. This is then convolved with the incoming audio signal to be processed. The row sums are the first convolved Fibonacci numbers. The instrumental response function, IRF(t) will be convolved or blended with the decay function, F(t).