- (w.r.t time varying FIRs) How did your results compare to traditional NLMS/adaptive approaches? Were you able to achieve similar results with fewer CPU cycles/lower filter order?
- (also w.r.t FIRs) Have you looked at your approach as more general/nonlinear model of adaptive filtering?
- How do you deal with highly correlated parameters in your models?
- (w.r.t dereverberation) How does your approach compare in fidelity and performance to homomorphic filtering approaches for deconvolution?
- (w.r.t time varying FIRs) How did your results compare to traditional NLMS/adaptive approaches? Were you able to achieve similar results with fewer CPU cycles/lower filter order?
- (also w.r.t FIRs) Have you looked at your approach as more general/nonlinear model of adaptive filtering?
- How do you deal with highly correlated parameters in your models?
- (w.r.t dereverberation) How does your approach compare in fidelity and performance to homomorphic filtering approaches for deconvolution?