Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation
- Authors
- Kim, K.J.; Kim, J.H.; Nam, S.W.
- Issue Date
- Dec-2010
- Publisher
- ICROS
- Keywords
- 2-D FIR filter; McClellan transformation; Sampling kernel
- Citation
- ICCAS 2010 - International Conference on Control, Automation and Systems, pp.1387 - 1390
- Indexed
- SCOPUS
- Journal Title
- ICCAS 2010 - International Conference on Control, Automation and Systems
- Start Page
- 1387
- End Page
- 1390
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173325
- DOI
- 10.1109/ICCAS.2010.5670317
- ISSN
- 0000-0000
- Abstract
- In this paper, a new method of designing 2-D linear-phase narrowband FIR filters is proposed by extending the conventional method of designing computationally efficient sharp linear-phase FIR filters, whereby the McClellan transformation and sampling kernels are utilized. In particulr, by applying the McClellan transformation to the sampling kernels and 1-D prototype model filters, we can design various types of 2-D narrow-band FIR filters (e.g., circular, elliptic, and diamond-shaped) with sharp transition. Design examples are included to demonstrate the effectiveness of the proposed design approach.
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