Name
Abstract | ||
|---|---|---|
Coefficient sparsity of digital filters is of importance as it is directly related to implementation efficiency and cost. To date most work in the field has been focused on finite-impulse response filters. In this paper, the design of sparse digital filters is investigated for a class of IIR filters. We propose a two-phase algorithm that promotes coefficient sparsity, maintains filter's stability, and optimizes its frequency response to approximate a desired frequency response in minimax sense. A design example is presented to illustrate the proposed algorithm and compare its performance relative to its nonsparse IIR and FIR counterparts. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISCAS.2011.5937586 | ISCAS |
Keywords | Field | DocType |
sparse digital filter,frequency response,coefficient sparsity,sparse coefficient,minimax techniques,minimax design,iir filter,filter stability,iir filters,stability analysis,finite impulse response filter,polynomials,passband,finite impulse response,algorithm design,algorithm design and analysis,digital filter | Minimax,Frequency response,Algorithm design,Digital filter,Polynomial,Computer science,Control theory,Infinite impulse response,2D Filters,Electronic engineering,Finite impulse response | Conference |
ISSN | ISBN | Citations |
0271-4302 E-ISBN : 978-1-4244-9472-9 | 978-1-4244-9472-9 | 3 |
PageRank | References | Authors |
0.50 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu-Sheng Lu | 1 | 329 | 49.40 |
| Takao Hinamoto | 2 | 158 | 50.09 |