Name
Abstract | ||
|---|---|---|
A variation of the differential steepest descent algorithm, here called the dithered linear search (DLS), is examined and applied to analog filter adaptation. The DLS algorithm is a gradient descent optimizer with a straightforwar d and robust hardware implementation. Gradient estimates are obtained by applying independent additive dither to all of the filter's parameters simul- taneously and correlating the resulting changes in the output squared error to the dither signals. Unlike the popular LMS algo- rithm, the DLS algorithm does not require access to the filter's internal states. No additional analog hardware is required making it ideal for adaptive analog filters in mixed-signal systems. A the- oretical analysis shows no gradient misalignment. The algorithm is verified on an integrated analog filter. The effects of dc offsets are also examined. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ISCAS.2002.1010442 | ISCAS |
Keywords | Field | DocType |
adaptive filters,analogue processing circuits,continuous time filters,gradient methods,mixed analogue-digital integrated circuits,DC offset,analog filter adaptation,differential steepest descent algorithm,dithered linear search algorithm,gradient descent optimize,hardware implementation,integrated analog filter,mixed-signal systems,output squared error | Least mean squares filter,Gradient descent,Digital filter,Control theory,Computer science,Electronic engineering,Adaptive filter,Dither,Linear search,Analog computer,Analogue filter | Conference |
Volume | Citations | PageRank |
4 | 3 | 3.01 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony Chan Carusone | 1 | 269 | 42.19 |
| David A. Johns | 2 | 116 | 26.91 |