Let's assume that there are two convolutions:
$y_1 = (h_2[n]\cdot x[n])*(\bar{h_1}[n]\cdot\bar{x}[n])$
$y_2 = (h_3[n]\cdot x[n])*(\bar{h_2}[n]\cdot\bar{x}[n])$
where "$\bar{x}$" is complex conjugate, $\cdot$ is element-by-element multiplication, and $*$ is linear convolution, that is $(f*g)[n]=\sum_mf[m]g[n-m]$.
I am looking to simplify $y = y_1+y_2$.
It would not be difficult to show that $$y\neq ((h_2[n]+h_3[n])\cdot x[n])*((\bar{h_1}[n]+\bar{h_2}[n])\cdot\bar{x}[n])$$ But is there any other way to algebraically simplify $y$?
This can also be seen as the sum of two products $Y_1$ and $Y_2$, (the FFTs), where in each FFT there are two convolutions:
$Y_1 = (H_2*X)\cdot(\tilde{H_1}*\tilde{X})$
$Y_2 = (H_3*X)\cdot(\tilde{H_2}*\tilde{X})$