Name
Abstract | ||
|---|---|---|
Designing perfect-reconstruction orthogonal cosine-modulated filter banks is essentially a nonconvex problem and to date only local solutions can be claimed. By virtue of the recent progress in global polynomial optimization, this paper describes an attempt of developing a global design method using an order-recursive strategy combined with a technique that identifies a desirable initial point in each round of recursion. Simulation and comparison studies are presented to evaluate the performance of the proposed design technique. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CCECE.2010.5575121 | CCECE |
Keywords | Field | DocType |
perfect-reconstruction orthogonal cosine-modulated filter banks,global design method,modulation,global polynomial optimization,nonconvex problem,polynomial approximation,channel bank filters,concave programming,performance evaluation,recursive estimation,order-recursive strategy,design technique,programming,optimization,interpolation,algorithm design and analysis,design method,symmetric matrices,polynomials,signal processing | Signal processing,Mathematical optimization,Trigonometric functions,Algorithm design,Polynomial,Computer science,Interpolation,Modulation,Symmetric matrix,Recursion | Conference |
ISSN | ISBN | Citations |
0840-7789 E-ISBN : 978-1-4244-5377-1 | 978-1-4244-5377-1 | 2 |
PageRank | References | Authors |
0.40 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Yan | 1 | 2 | 0.40 |
| Wu-Sheng Lu | 2 | 296 | 24.90 |