A simple model characterizing the convergence properties of an adaptive digital lattice Filter using gradient algorithms has been reported . This model is extended to the least mean square (LMS) lattice joint process estimator , and to the least squares (LS) lattice and “fast” Kalman algorithms  -. The models in each case are compared with computer simulation. The single-stage LMS lattice analysis presented in  is also applied to the LS lattice. Results indicate that for stationary inputs, the LMS lattice and LS algorithms exhibit similar behavior.
|Original language||English (US)|
|Number of pages||11|
|Journal||IEEE Transactions on Acoustics, Speech, and Signal Processing|
|State||Published - Apr 1983|
ASJC Scopus subject areas
- Signal Processing