11328 (v.3) Adaptive Signal Processing 611
| Area: | Department of Electrical and Computer Engineering |
| Contact Hours: | 3.0 |
| Credits: | 25.0 |
| Lecture: | 1 x 2 Hours Weekly |
| Practical: | 1 x 1 Hours Weekly |
| Prerequisite(s): | 11341 (v.3) Stochastic Processes for Telecommunications Systems 601 or any previous version
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| Rationale for adaptive filters. Examples of applications - echo cancellation, adaptive antenna arrays, systems identification, equalisations. Linear optimum filtering and spectral estimation - Wiener filtering, eigenvector techniques, linear prediction and Kalman filters. Iterative optimisation techniques - steepest descent, projected gradient, perturbation, Newton - Raphson acceleration, convergence. Stochastic gradient and recursive least algorithms - convergence analysis, misadjustment analysis, finite precision effects. |
| Year | Location | Period | Internal | Area External | Central External | | 2003 | Bentley Campus | Semester 1 | Y | | | | 2003 | Bentley Campus | Semester 2 | Y | | | |
Current as of: August 29, 2003 15:52:10
CRICOS provider code 00301J
