I'm thinking of using Parks-Mccellan for my equalization needs, but since I require that the filter be variable (gain, Q etc.) then does it make sense to recompute Parks-Mccellan on a per sample basis?
Reason for asking is that I'm still confused about whether different algorithms are suited for per sample computation or whether they need longer intervals to make their full effect.
I guess it would still need some sort of pre-buffer (since the filtering uses previous samples)?
My application is Parks-Mccellan style arbitrary magnitude response filtering that's dynamic (i.e. I want to be able to vary the magnitude response over some, even short sample intervals).