Name
Abstract | ||
|---|---|---|
Sparse digital filters are of importance as they offer improved implementation efficiency relative to their nonsparse counterparts. This paper examines the design of minimax sparse IIR filters from a sparse representation point of view. The result is a new algorithm that accomplishes a design with three phases - identification of the whereabouts of zero coefficients; optimal design subject to the sparsity constraint; and performance enhancement by further dimension reduction of the working subspace. A design example is presented for illustrating the new algorithm. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISCAS.2013.6572490 | ISCAS |
Keywords | Field | DocType |
sparse digital iir filter,minimax techniques,minimax design,zero coefficient,iir filters,sparse representation,passband,vectors,algorithm design and analysis,indexes,frequency response | Minimax,Mathematical optimization,Digital filter,Dimensionality reduction,Subspace topology,Computer science,Control theory,Sparse approximation,Infinite impulse response,2D Filters,Algorithm,Optimal design | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4673-5760-9 | 1 |
PageRank | References | Authors |
0.40 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu-Sheng Lu | 1 | 296 | 24.90 |
| Takao Hinamoto | 2 | 158 | 50.09 |