Name
Abstract | ||
|---|---|---|
Is sparsity an issue in filter design problems? and why is it important? How a digital filter can be designed to have a sparse impulse response for efficient implementation while achieving improved performance relative to its non-sparse counterpart? In an attempt to address these questions, this paper comes up with a design technique for optimal linear-phase FIR filters with sparse impulse responses. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISCAS.2010.5538018 | ISCAS |
Keywords | Field | DocType |
linear-phase fir filters,sparse coefficient,fir filters,digital filters,transient response,impulse response,gain,filter design,transfer function,algorithm design and analysis,frequency response,finite impulse response filter,fir filter,linear phase,digital filter,approximation algorithms,upper bound | Impulse response,Approximation algorithm,Algorithm design,Digital filter,Computer science,Control theory,Sparse approximation,Electronic engineering,Impulse (physics),Finite impulse response,Filter design | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4244-5309-2 | 18 |
PageRank | References | Authors |
1.93 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu-Sheng Lu | 1 | 296 | 24.90 |
| Takao Hinamoto | 2 | 158 | 50.09 |