Name
Abstract | ||
|---|---|---|
This paper investigates the problem of minimizing weighted pole and zero sensitivity for state-space digital filters. A new measure for pole and zero sensitivity is proposed and an efficient iterative technique for minimizing this measure is developed by employing a quasi-Newton algorithm. A novel and simple method is also explored for obtaining the optimal coordinate transformation matrix which minimizes a zero sensitivity measure subject to minimal pole sensitivity. A numerical example is presented to demonstrate the validity and effectiveness of the proposed technique. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | Digital filter,Computer science,Control theory,State space digital filters,Minification,Transformation matrix |
DocType | ISSN | Citations |
Conference | 0271-4302 | 2 |
PageRank | References | Authors |
0.68 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takao Hinamoto | 1 | 158 | 50.09 |
| Akimitsu Doi | 2 | 10 | 13.07 |
| Wu-Sheng Lu | 3 | 329 | 49.40 |