You can find some aspects in Proakis (Digital communication), chap 11.
also the main idea for pre_coding and pre-equalizing can be find in all
paper by Tomlinson and Harashima .

>I was trying to search through literature in order to find advantages
>adaptive post-equalization. I failed. Can anyone point to a good
>reference. 2ndly on adaptive pre-equalization there are only three
>papers when we search ieeexplore. I was thinking of using indirect
>learning architechture as a pre-equalizer mentioned in
>D.~Psaltis, A.~Sideris, and A.~A. Yamamura, A multilayered neural
>network  controller,'' \emph{IEEE Control Systems Magazine}, vol.~8,
>no.~2, pp. 17 --
>  21, 1988 (This setup is being used in predistortors esp for volterra
>based). I would also like to compare it to an optimum pre-equalizer.
>Question is what is an optimum pre-equalizer?
>
>

I was trying to search through literature in order to find advantages
adaptive post-equalization. I failed. Can anyone point to a good
reference. 2ndly on adaptive pre-equalization there are only three
papers when we search ieeexplore. I was thinking of using indirect
learning architechture as a pre-equalizer mentioned in
D.~Psaltis, A.~Sideris, and A.~A. Yamamura, A multilayered neural
network  controller,'' \emph{IEEE Control Systems Magazine}, vol.~8,
no.~2, pp. 17 --
21, 1988 (This setup is being used in predistortors esp for volterra
based). I would also like to compare it to an optimum pre-equalizer.
Question is what is an optimum pre-equalizer?