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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mikhael, W.B. Ghosh, S.M. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Electr. Eng., Univ. of Central Florida, Orlando, FL, USA (Mikhael, W.B.; Ghosh, S.M.) |
| Abstract | A technique for 2-D system identification which processes 2-D signals using 2-D blocks is proposed. Two algorithms which perform 2-D FIR (finite impulse response) adaptive filtering using 2-D error blocks or windows are presented. The first algorithm uses a convergence factor that is constant for each 2-D coefficient at each window iteration. This algorithm is termed the two-dimensional block least mean square algorithm (TDBLMS). A novel 2-D adaptive fast LMS algorithm which processes 2-D signals is presented. In this algorithm, a convergence factor is obtained that is the same for all 2-D coefficients at a particular window iteration, but is updated at each window iteration. This algorithm is called the two-dimensional optimum block algorithm (TDOBA). The convergence properties of the TDBLMS and TDOBA are investigated and compared using computer simulations for both disjoint and overlapping windows. It is shown that the TDOBA clearly outperforms the TDBLMS algorithm with respect to convergence speed and accuracy of adaptation.< |
| Starting Page | 1219 |
| Ending Page | 1222 |
| File Size | 347840 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780305930 |
| DOI | 10.1109/ISCAS.1992.230305 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-05-10 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive filters Filtering algorithms Convergence System identification Adaptive algorithm Transfer functions Two dimensional displays Finite impulse response filter Least mean square algorithms Signal processing |
| Content Type | Text |
| Resource Type | Article |
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