Are there any analytic approaches to the design of quadratic polynomial filters?

The following paper describes an application of the Teager-Kaiser energy operator to x-ray image enhancement:

Reinhard Bernstein, Michael S. Moore and Sanjit K. Mitra, "Adjustable Quadratic Filters for Image Enhancement" Proc. IEEE International Conference on Image Processing (ICIP), Santa Barbara, CA, vol. 1, pp. 287-290, Oct. 1997. http://vision.ece.ucsb.edu/publications/view_abstract.cgi?52

The authors develop intuition for the behavior of the filter through analogy with a similar linear operator (i.e. "Thus the output of a Teager filter is approximately equal to a highpass filter response weighted by the local mean."). For the sake of precision, by quadratic polynomial filters, I mean non-linear, non-recursive filters that can be completely characterized by a truncated Volterra Series, as follows (for the 1D case):

$$y(n) = \sum_{m_1=0}^{N_1-1}{ h_1(m_1)x(n - m_1) } + \sum_{m_1=0}^{N_2-1}{\hphantom{.}\sum_{m_2=0}^{N_2-1}{ h_2(m_1,m_2)x(n - m_1)x(n - m_2) } }$$

It seems that most approaches to the design of low-order polynomial filters involve system identification frameworks, but without any deep understanding as to why the estimated filters work. Are analytic approaches based on linear analogies currently the state-of-the-art, or are there any known mathematical tools that can be used?

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I have used the Teager-Kaiser energy operator before. I know that it is excellent for magnifying 'pulling out' short impulses from noisy data, (sort of the opposite of a median filter). It can also make pink noise white. For pure tones, its output is a constant, (the energy of the tone). – Mohammad Apr 17 '12 at 18:07
@Mohammad Interesting. Just using it as an example for the question, but wasn't aware of the pink-to-white property. Thanks for that! – datageist Apr 17 '12 at 18:12
Here is my Matlab implementation if you want to play around with it. (dl.dropbox.com/u/4724281/TKEO.m) – Mohammad Apr 17 '12 at 18:31
@Mohammad Thanks! – datageist Apr 17 '12 at 18:39
@datageist Have you ever managed to find an answer to this? Can you post it is you have? This is the highest voted unanswered question no less! = ) – Phonon Oct 27 '13 at 6:41

Not really an answer (hence this is community wiki), but I thought we should capture @Mohammad's code:

%Mohammad Z

%Teager-Kaiser Non-Linear Energy Operator.
function [out] = TKEO(x)
N = length(x);
x = x(:).';
temp = x(2:N-1).^2 - x(3:N).*x(1:N-2);
out = [temp(1) temp temp(end)];
end

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