Sun Mar 24 12:37:26 EDT 2013
Small signal analysis
I've added small signal analysis to ai-freq.rkt based at 0. However,
this could be generalized to any point, by using ai-autodiff.rkt to
construct linear approximations.
The probing part can probably be completely replaced by the
computation of a set of derivatives. The thing there however is to
distinguish linear from nonlinear outputs.
Let's give it a try. Roadmap:
- Implement evaluation over offset + signal correctly
- Evaluate over normal numbers to find matrix
Computing the derivative matrix was straightforward, just folling the
Changing the number implementation to small-signal is a bit stranger
though. Maybe this can now be simplified a bit.