Abstract
Convergence characteristics of adaptive filters are influenced by statistical properties of the input signal. In order to remove this dependency, decorrelation can be applied with a frequency- domain adaptive filter (FDAF), in which the length M of the transformation between the time and the frequency domain is chosen to be equal to the length N of the adaptive filter. The relevant length M is determined by the statistical properties of the input signal and needs not to be equal to N. Both lengths M and N can be decoupled by using partitioned frequency-domain adaptive filters (PFDAFs). Statistical conditions are derived for the input signal in such a way that both PFDAF and FDAF have equal convergence properties.
| Original language | English |
|---|---|
| Title of host publication | ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 69-72 |
| Number of pages | 4 |
| ISBN (Print) | 0-7803-0532-9 |
| DOIs | |
| Publication status | Published - 26 Mar 1992 |
| Event | 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992) - San Francisco, United States Duration: 23 Mar 1992 → 26 Mar 1992 |
Conference
| Conference | 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992) |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 23/03/92 → 26/03/92 |
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