Low-delay filtering
View Patent ↗A method of frequency-domain filtering is provided that includes a plurality of filters, the plurality of filters including at least one constrained filter(s) W =I, I and at least one unconstrained filter(s) W =1,K− The method includes cascading the W k =i,K unconstrained filter(s). A single constraint window C is applied to the cascaded W =i,K unconstrained filter(s). The W =1,I constrained filter(s) are cascaded with the constrained cascaded W k =1,K unconstrained filter(s) to form a resulting filter W ll =C( W 1{circle around (x)} . . . {circle around (x)} W ){circle around (x)} W . . . W . The frequency domain representation of the single constraint window C may be based, at least in part, on a time domain representation of a single constraint window C that has been circularly shifted such that the frequency domain representation of the constraint window matches a property of the frequency domain representation of the cascaded W =1,K unconstrained filters.
1. A method of adaptive digital filtering, the method comprising:
determining a time domain representation of a soft constraint window, the soft constraint window for zero padding an adaptive digital filter;
circularly shifting the time domain representation of the soft constraint matrix to align in the frequency domain with the adaptive digital filter;
transforming the time domain representation of the circularly shifted soft constraint matrix to a frequency domain representation of the circularly shifted soft constraint matrix;
determining a frequency domain representation of the adaptive digital filter;
applying the frequency domain representation of the circularly shifted soft constraint matrix window to the frequency domain representation of the adaptive digital filter, such that the resulting adaptive digital filter corresponds to a digital filter in the time domain that includes a plurality of consecutive zeros.
2. The method according to claim 1 , further comprising:
applying the resulting frequency domain representation of the digital filter to a frequency domain representation of an input signal.
3. The method according to claim 2 , further comprising using an overlap-save method.
4. The method according to claim 1 , wherein the corresponding time domain representation of the soft constraint window is substantially a Hann window.
5. The method according to claim 1 , further including:
cascading a plurality of filters W i=1,I in the frequency domain, each of the filters W i being constrained and having the same length, to form a combined filter W all = W 1 {circle around (x)} W 2 {circle around (x)} . . . {circle around (x)} W I .
6. The method according to claim 5 , further comprising applying W all to a frequency domain representation of an input signal to form a frequency domain representation of an output signal.
7. The method according to claim 6 , further comprising transforming the frequency domain representation of the output signal to a time domain representation of the output signal.
8. The method according to claim 1 , wherein the frequency domain filtering further includes a plurality of filters, the plurality of filters including at least one constrained filter(s) W i=1,I and at least one unconstrained filter(s) {tilde over (W)} k=1,K , the method comprising:
cascading the {tilde over (W)} k=1,K unconstrained filter(s);
applying a single constraint window C to the cascaded {tilde over (W)} k=1,K unconstrained filter(s); and
cascading the W i=1,I constrained filter(s) with the constrained cascaded W k=1,K unconstrained filter(s) to form a resulting filter W all *=C( {tilde over (W)} 1 {circle around (x)} . . . {circle around (x)} {tilde over (W)} K ){circle around (x)} W 1 . . . W I .
9. The method according to claim 8 , further comprising applying W all to a frequency domain representation of an input signal to form a frequency domain representation of an output signal.
10. The method according to claim 9 , further comprising transforming the frequency domain representation of the output signal to a time domain representation of the output signal.
11. The method according to claim 8 , wherein the W i=1,I constrained filters is a fixed equalizer W fixEQ and the {tilde over (W)} k=1,k unconstrained filters is a dynamic equalizer {tilde over (W)} dynEQ , such that W all = W fixEQ {circle around (x)}C {tilde over (W)} dynEQ .
12. The method according to claim 8 , wherein the frequency domain representation of the constraint window matches a property of the frequency domain representation of the cascaded {tilde over (W)} k=1,k unconstrained filters.
13. A computer program product for use on a computer system for frequency-domain filtering, the computer program product comprising at least one non-transitory computer readable medium having computer executable program code thereon, the computer executable program code comprising:
program code for cascading {tilde over (W)} k=1,K unconstrained filter(s);
program code for applying a single constraint window C to the cascaded {tilde over (W)} k=1,K unconstrained filter(s);
program code for cascading W = i=1,I constrained filter(s) with the constrained cascaded {tilde over (W)} k=1,K unconstrained filter(s) to form a resulting filter W all *=C( {tilde over (W)} 1 {circle around (x)} . . . {circle around (x)} {tilde over (W)} K ){circle around (x)} W 1 . . . W I .
14. The computer program product according to claim 13 , further comprising program code for applying W all to a frequency domain representation of an input signal to form a frequency domain representation of an output signal.
15. The computer product according to claim 13 , wherein the W i=1,I constrained filters is a fixed equalizer W fiXEQ and the {tilde over (W)} k=1,K unconstrained filters is a dynamic equalizer {tilde over (W)} dynEQ , such that W all = W fixEQ {circle around (x)}C {tilde over (W)} dynEQ .