And as I indicated, this is a second order polynomial, which means that we can factor it into two roots.
As I indicated this past April, I disagree.
So if the spectrum of the original signal is what I indicate in this diagram, then after sampling with an impulse train, that spectrum is replicated.
If we consider the example of a symmetric square wave, then in effect what we're saying is that for this symmetric square wave, this has a set of Fourier series coefficients, which we worked out previously and which I indicate on this figure with a bar graph.
The double circles around θ i indicate that this is a deterministic latent variable whose value is computed from parameters a, b, and fixed error ε (see Appendix A).
So, in fact, the result of the convolution of this with this would then be the spectrum that I indicate here, namely this spectrum shifted up to pi and of course to minus pi.
I indicated the inverted pendulum.
The observed defects (especially in complex I) indicate a disruption in this process.
By checking the box above, but not this box, I indicate my acceptance of these terms and conditions, unless I have also checked the box below, in which case I indicate my denial, unless I have checked a total of three or more boxes, in which case I have passed beyond denial, cycled through anger, bargaining, and depression, and am now back at acceptance.
But then if you switch it to another set of features that didn't really respond well, so here I indicate that with B. So this was the qualitative, conceptual story about what it seemed like neurons did.
