Name
Title | ||
|---|---|---|
Realization with minimal weighted pole and zero sensitivity subject to ℓ2-scaling constraints for recursive digital filters. |
Abstract | ||
|---|---|---|
This paper deals with the problem of minimizing weighted p ole and zero sensitivity subject to l2-scaling constraints for state-space digital filters. A measure for pole and zero sensitivity is presented and an efficient iterative technique for minimizing this measure subject to l2-scaling constraints is developed by relaxing the constraints into a single constraint on matrix trace and solving the relaxed problem with an effective matrix iteration scheme. A numerical example is included to demonstrate the validity and effectiveness of the proposed technique. |
Year | Venue | Field |
|---|---|---|
2016 | ISCAS | Mathematical optimization,Digital filter,Zero matrix,Nonnegative matrix,Computer science,Matrix (mathematics),Matrix decomposition,Symmetric matrix,Minification,Trace (linear algebra) |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takao Hinamoto | 1 | 158 | 50.09 |
| Akimitsu Doi | 2 | 10 | 13.07 |
| Wu-Sheng Lu | 3 | 329 | 49.40 |