dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2014-05-27T11:18:02Z | |
dc.date.available | 2014-05-27T11:18:02Z | |
dc.date.created | 2014-05-27T11:18:02Z | |
dc.date.issued | 1995-12-01 | |
dc.identifier | Midwest Symposium on Circuits and Systems, v. 2, p. 987-989. | |
dc.identifier | http://hdl.handle.net/11449/64679 | |
dc.identifier | 10.1109/MWSCAS.1995.510257 | |
dc.identifier | WOS:A1996BF75Z00245 | |
dc.identifier | 2-s2.0-0029461772 | |
dc.description.abstract | An algorithm for adaptive IIR filtering that uses prefiltering structure in direct form is presented. This structure has an estimation error that is a linear function of the coefficients. This property greatly simplifies the derivation of gradient-based algorithms. Computer simulations show that the proposed structure improves convergence speed. | |
dc.language | eng | |
dc.relation | Midwest Symposium on Circuits and Systems | |
dc.rights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Adaptive filtering | |
dc.subject | Computer simulation | |
dc.subject | Convergence of numerical methods | |
dc.subject | Digital filters | |
dc.subject | Error analysis | |
dc.subject | Errors | |
dc.subject | Estimation | |
dc.subject | Identification (control systems) | |
dc.subject | Estimation error | |
dc.subject | Mean square error | |
dc.subject | Prefiltering algorithm | |
dc.subject | Algorithms | |
dc.title | Another prefiltering algorithm for adaptive IIR filtering | |
dc.type | Actas de congresos | |